Barometric sensor calibration with locations determined using corrective signals

ABSTRACT

One or more computing devices, systems, and/or methods for calibrating barometric sensors and/or determining altitudes of devices are provided. In an example, one or more barometric pressure measures are determined using a barometric sensor of a device. One or more locations of the device are determined based upon one or more global navigation satellite system (GNSS) signals and one or more corrective signals associated with the one or more GNSS signals. One or more reference values are determined based upon the one or more locations. A barometric offset is determined based upon the one or more barometric pressure measures and the one or more reference values. A first barometric measurement is performed using the barometric sensor to determine a first barometric pressure measure. An adjusted barometric pressure measure and/or an altitude of the device are determined based upon the first barometric pressure measure and the barometric offset.

BACKGROUND

A device may include a barometric sensor used to perform barometricmeasurements and determine barometric pressures. A barometric pressuremay be used to determine an altitude of the device. However, thebarometric pressure determined using the barometric sensor of the devicemay be inaccurate, and thus, the altitude may be inaccurate as well.

BRIEF DESCRIPTION OF THE DRAWINGS

While the techniques presented herein may be embodied in alternativeforms, the particular embodiments illustrated in the drawings are only afew examples that are supplemental of the description provided herein.These embodiments are not to be interpreted in a limiting manner, suchas limiting the claims appended hereto.

FIG. 1A is a diagram illustrating a first client device, of an examplesystem for calibrating barometric sensors and/or determining altitudesof devices, according to some embodiments.

FIG. 1B is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where afirst location of a first client device is determined and/or comparedwith one or more polygons according to some embodiments.

FIG. 1C is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where afirst plurality of locations of a first client device and/or a firstplurality of barometric pressure measures are determined via a firstcalibration process according to some embodiments.

FIG. 1D is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where one ormore first locations of a first client device and/or one or more firstbarometric pressure measures are identified according to someembodiments.

FIG. 1E is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where afirst reference value is determined according to some embodiments.

FIG. 1F is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where afirst barometric offset is determined according to some embodiments.

FIG. 1G is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where afourth location of a first client device and/or an adjusted barometricpressure measure are determined according to some embodiments.

FIG. 1H is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where analtitude of a first client device is determined according to someembodiments.

FIG. 1I is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where analtitude of a first client device is determined according to someembodiments.

FIG. 1J is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where afirst client device transmits reporting information to a locationtracking system according to some embodiments.

FIG. 1K is a diagram illustrating an example system for calibratingbarometric sensors and/or determining altitudes of devices, where alocation tracking system transmits locating information to a firstresponder management device according to some embodiments.

FIG. 2A is a diagram illustrating an example of determining whether acondition for performing a calibration process is met, according to someembodiments.

FIG. 2B is a diagram illustrating an example of determining whether acondition for performing a calibration process is met, according to someembodiments.

FIG. 2C is a diagram illustrating an example of determining whether acondition for performing a calibration process is met, according to someembodiments.

FIG. 2D is a diagram illustrating an example of determining whether acondition for performing a calibration process is met, according to someembodiments.

FIG. 3 is a flow chart illustrating an example method for calibratingbarometric sensors and/or determining altitudes of devices according tosome embodiments.

FIG. 4 is an illustration of a scenario involving various examples oftransmission mediums that may be used to communicatively couplecomputers and clients.

FIG. 5 is an illustration of a scenario involving an exampleconfiguration of a computer that may utilize and/or implement at least aportion of the techniques presented herein.

FIG. 6 is an illustration of a scenario involving an exampleconfiguration of a client that may utilize and/or implement at least aportion of the techniques presented herein.

FIG. 7 is an illustration of an example environment in which at least aportion of the techniques presented herein may be utilized and/orimplemented.

FIG. 8 is an illustration of an example network that may utilize and/orimplement at least a portion of the techniques presented herein.

FIG. 9 is an illustration of a scenario featuring an examplenon-transitory machine readable medium in accordance with one or more ofthe provisions set forth herein.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

Subject matter will now be described more fully hereinafter withreference to the accompanying drawings, which form a part hereof, andwhich show, by way of illustration, specific example embodiments. Thisdescription is not intended as an extensive or detailed discussion ofknown concepts. Details that are well known may have been omitted, ormay be handled in summary fashion.

The following subject matter may be embodied in a variety of differentforms, such as methods, devices, components, and/or systems.Accordingly, this subject matter is not intended to be construed aslimited to any example embodiments set forth herein. Rather, exampleembodiments are provided merely to be illustrative. Such embodimentsmay, for example, take the form of hardware, software, firmware or anycombination thereof.

The following provides a discussion of some types of computing scenariosin which the disclosed subject matter may be utilized and/orimplemented.

One or more systems and/or techniques for calibrating barometric sensorsand/or determining altitudes of devices are provided. In some examples,a client device may comprise a barometric sensor. The client device mayperform a barometric measurement using the barometric sensor todetermine a barometric pressure measure. An altitude may be determinedbased upon the barometric pressure measure. However, barometric pressuremeasures determined using the barometric sensor of the client device maybe inaccurate, such as due to at least one of bias, skew, error, etc. ofthe barometric sensor. Accordingly, the altitude determined based uponthe barometric pressure measure may be inaccurate. The inaccuracy of thealtitude may result in the altitude not being used to perform one ormore useful functions, such as tracking a location of the client deviceand/or performing a rescue operation associated with an emergency event.Alternatively and/or additionally, one or more functions may beincorrectly performed due to the altitude being inaccurate. In anexample, the altitude may be indicative of the client device being on afirst floor of a building, whereas the client device may be on a second(different) floor of the building. In an exemplary scenario in which afirst responder is tasked with assisting a user of the client device,due to the inaccuracy of the altitude, the first responder may beprovided with incorrect information indicating that the client device(and/or the user) are on the first floor, which may cause a delay in thefirst responder reaching and/or assisting the user (such as due to theuser and/or the client device actually being on the second floor ratherthan the first floor).

Barometric sensor inaccuracy may be variable across sensor types andeven across different individual sensor elements of the same type (e.g.,due to fabrication differences, differing environmental conditions inwhich the sensor operates, etc.). Therefore, calibration processes thatare static—such as attempting to characterize the performance of asensor type or even an individual sensor prior to field deployment—aregenerally ineffective to improve measurement accuracy.

Accordingly, as provided herein, a dynamic calibration process todetermine a barometric offset of the barometric sensor deployed in aclient device may be performed. In some examples, the calibrationprocess may comprise periodically determining one or more barometricpressure measures using the barometric sensor. Alternatively and/oradditionally, one or more locations of the client device, associatedwith the one or more barometric pressure measures, may be determined.The one or more locations may be determined based upon one or moreglobal navigation satellite system (GNSS) signals and one or morecorrective signals associated with the one or more GNSS signals. The oneor more corrective signals may comprise one or more differential GNSS(DGNSS) corrective signals and/or one or more real-time kinematic (RTK)corrective signals. By using the one or more corrective signals todetermine the one or more locations, the one or more locations may havean increased accuracy as compared to determining the one or morelocations, based upon the one or more GNSS signals, without usingcorrective signals.

One or more reference values may be determined based upon the one ormore locations. In an example, the one or more reference values may bebased upon one or more mean sea level pressure values associated withthe one or more locations (e.g., the one or more mean sea level pressurevalues may be determined based upon the one or more locations).Alternatively and/or additionally, the one or more reference values maybe determined based upon one or more altitudes, of the client device,associated with the one or more locations. For example, the one or morelocations may be indicative of the one or more altitudes (and/or the oneor more altitudes may be determined based upon the one or morelocations). Alternatively and/or additionally, the one or more altitudesmay be determined based upon geographical information and the one ormore locations. For example, the geographical information may beindicative of one or more ground level altitudes of the one or morelocations, and/or the one or more altitudes may be determined based uponthe one or more ground level altitudes (e.g., the one or more altitudesof the client device may be determined to be equal to the one or moreground level altitudes). In some examples, the barometric offset may bedetermined based upon the one or more barometric pressure measuresand/or the one or more reference values. Accordingly, due to the one ormore locations having the increased accuracy, at least one of the one ormore reference values, the one or more mean sea level pressure values,the one or more altitudes, the barometric offset, etc. may have anincreased accuracy as compared to determining at least one of the one ormore reference values, the one or more mean sea level pressure values,the one or more altitudes, the barometric offset, etc. based uponlocations that are determined without using corrective signals.

A barometric measurement may be performed using the barometric sensor todetermine a barometric pressure measure. An adjusted barometric pressuremeasure may be determined based upon the barometric pressure measure andthe barometric offset. An altitude of the client device may bedetermined based upon the adjusted barometric pressure measure. In someexamples, by determining the altitude of the client device using theadjusted barometric pressure measure that accounts for the barometricoffset, the altitude may be determined more accurately (as compared todetermining the altitude using the barometric pressure measuredetermined via the barometric measurement without accounting for thebarometric offset). Alternatively and/or additionally, due to theincreased accuracy of the barometric offset, the adjusted barometricpressure measure and/or the altitude of the client device may bedetermined more accurately.

Reporting information comprising the altitude, the adjusted barometricpressure measure and/or a location of the client device may betransmitted to a location tracking system. The location tracking systemmay determine locating information based upon the reporting information.The locating information may be used to locate the client device. Forexample, the locating information may be indicative of at least one of abuilding in which the client device is located, a floor of the buildingon which the client device is located, a part of the floor in which theclient device is located, etc. The locating information may be presentedvia an interface and/or transmitted to one or more devices (e.g., theone or more devices may comprise the client device, a first respondermanagement device and/or one or more other devices).

FIGS. 1A-1K illustrate examples of a system 101 for calibratingbarometric sensors and/or determining altitudes of devices. FIG. 1Aillustrates a first client device 100 (e.g., a phone, a laptop, acomputer, a wearable device, a smart device, a television, any othertype of computing device, hardware, etc.), according to some exampleembodiments. The first client device 100 may comprise a barometricsensor 102. The first client device 100 may use the barometric sensor102 to perform barometric measurements to determine barometric pressuremeasures. A barometric pressure measure may be used for determining analtitude of the first client device 100, such as a vertical distancebetween the first client device 100 and a reference point, such asground level, mean sea level, or other reference point. Using one ormore of the techniques and/or devices herein, the barometric sensor 102may be calibrated to determine a barometric offset associated withbarometric measurement using the barometric sensor 102. The barometricoffset and one or more barometric pressure measures determined using thebarometric sensor 102 (and/or other information) are used to moreaccurately determine an altitude of the first client device 100 (ascompared to determining the altitude without calibrating the barometricsensor 102 and/or without the barometric offset).

In some examples, whether one or more first conditions for performing afirst calibration process associated with the barometric sensor 102 aremet may be determined. In some examples, in response to determining thatthe one or more first conditions are met, the first calibration processmay be performed to determine a first barometric offset associated withthe barometric sensor 102. Examples of determining whether exemplaryconditions of the one or more first conditions are met are illustratedin FIGS. 2A-2D.

In some examples, the first client device 100 may determine whether theone or more first conditions for performing the first calibrationprocess are met in response to determining that a location change overtime of the first client device 100 is larger than a threshold locationchange over time. For example, the first client device 100 may monitorand/or determine (e.g., periodically monitor and/or determine) locationsof the first client device 100 and/or determine (e.g., periodicallydetermine) the location change over time of the first client device 100.In some examples, the location change over time may be determined basedupon the locations of the first client device 100 within a period oftime and/or based upon a distance by which a location of the firstclient device 100 changes during the period of time. In some examples,the location change over time may be compared (e.g., periodicallycompared) with the threshold location change. In some examples, inresponse to determining that the location change over time is largerthan the threshold location change, the first client device 100 maytrigger performance of operations to determine whether the one or morefirst conditions for performing the first calibration process are met.

In some examples, the one or more first conditions may comprise a firstcondition associated with a validity of a second barometric offsetdetermined by performing a second calibration process associated withthe barometric sensor 102. An example of determining whether the firstcondition is met is illustrated in FIG. 2A. In some examples, it may bedetermined that the first condition is met based upon a determinationthat the second barometric offset is invalid. Alternatively and/oradditionally, it may be determined that the first condition is not metbased upon a determination that the second barometric offset is valid.In some examples, the second barometric offset corresponds to abarometric offset previously determined by performing (using the firstclient device 100, for example) the second calibration process. Forexample, the second barometric offset may correspond to a most recentlydetermined barometric offset of one or more barometric offsetsdetermined by the first client device 100 (and/or the second calibrationprocess may correspond to a most recently performed successfulcalibration process of one or more calibration processes performed bythe first client device 100). In some examples, the second barometricoffset may be stored in a barometric offset buffer (e.g., a fixed sizebuffer). For example, the second barometric offset may be stored in thebarometric offset buffer in response to determining the secondbarometric offset.

In some examples, the validity of the second barometric offset may bedetermined based upon a first time at which the second calibrationprocess is performed (and/or at which the second barometric offset isdetermined). For example, it may be determined that the secondbarometric offset is invalid (and the first condition is met, forexample) based upon a determination that a duration of time between thefirst time and a second time exceeds a threshold duration of time. Thesecond time may correspond to a current time and/or a time at which thevalidity of the second barometric offset is determined. For example, theduration of time exceeding the threshold duration of time may beindicative of the second barometric offset being outdated at the secondtime (e.g., the current time), such as due to at least one of bias,skew, error, etc. of the barometric sensor 102 changing over time.

In some examples, the validity of the second barometric offset may bedetermined based upon a first location 112 (illustrated in FIG. 1B) ofthe first client device 100 and a second location of the first clientdevice 100 when the second calibration process is performed (and/or whenthe second barometric offset is determined). For example, it may bedetermined that the second barometric offset is invalid (and the firstcondition is met, for example) based upon a determination that adistance between the second location and the first location 112 islarger than a threshold distance.

In some examples, the first location 112 (illustrated in FIG. 1B) of thefirst client device 100 may be determined based upon a set of GNSSsignals (e.g., a set of one or more GNSS signals) and/or one or morecorrective signals associated with the set of GNSS signals. The set ofGNSS signals may be received from a satellite navigation system, such asa GNSS (e.g., Global Positioning System (GPS), Global NavigationSatellite System (GLONASS), Galileo, etc.). For example, the set of GNSSsignals may be received from GNSS satellites of the satellite navigationsystem. In some examples, the one or more corrective signals maycomprise one or more differential GNSS (DGNSS) corrective signals(received from a DGNSS station with a fixed and/or known location, forexample). Alternatively and/or additionally, the one or more correctivesignals may comprise one or more RTK corrective signals (received froman RTK station with a fixed and/or known location, for example)

In some examples, location determination using GNSS signals receivedfrom GNSS satellites is prone to errors and/or inaccuracies, such as dueto at least one of orbit error and/or clock error of a GNSS satellite,ionospheric delay and/or ionospheric error associated with a GNSSsignal, tropospheric delay and/or tropospheric error associated with aGNSS signal, multi-path error, noise, etc. The one or more correctivesignals are used to correct errors associated with the set of GNSSsignals to determine the first location 112 with increased accuracy (ascompared to a location determined using merely the set of GNSS signals).A base station (e.g., a DGNSS station and/or a RTK station) with a knownlocation may determine GNSS signal correction information based upon theknown location and/or GNSS signals received from GNSS satellites of thesatellite navigation. The base station may broadcast the one or morecorrective signals indicative of the GNSS signal correction information.The first client device 100 may apply the GNSS signal correctioninformation to determine the first location 112 using the set of GNSSsignals.

In some examples, whether the first client device 100 uses RTKcorrective signals or DGNSS corrective signals to determine the firstlocation 112 may be based upon whether the first client device 100 iswithin range of an RTK station and/or a DGNSS station. The first clientdevice 100 may be within range of an RTK station when a distance betweenthe first client device 100 and the RTK station is less than a firstmaximum distance (of about 10 kilometers, for example). The first clientdevice 100 may be within range of a DGNSS station when a distancebetween the first client device 100 and the DGNSS station is less than asecond maximum distance (of about 1000 kilometers, for example).

The first client device 100 may monitor for and/or detect one or moreDGNSS corrective signals and/or one or more RTK corrective signals. Insome examples, whether the first client device 100 uses one or more RTKcorrective signals or one or more DGNSS corrective signals to determinethe first location 112 may be based upon an availability of RTKcorrective signals and/or DGNSS corrective signals. For example, if thefirst client device 100 is not within range of one or more RTK stations(and/or a signal strength of RTK corrective signals received from one ormore RTK stations is less than a first RTK signal strength threshold),the first client device 100 may use one or more DGNSS correctivesignals, received from a DGNSS station, to determine the first location112 (e.g., the first client device 100 may use the one or more DGNSScorrective signals if the first client device 100 is within range of oneor more DGNSS stations and/or a signal strength of DGNSS correctivesignals exceeds a first DGNSS signal strength threshold). Alternativelyand/or additionally, if the first client device 100 is not within rangeof one or more DGNSS stations (and/or a signal strength of DGNSScorrective signals received from one or more DGNSS stations is less thanthe first DGNSS signal strength threshold), the first client device 100may use one or more RTK corrective signals, received from a RTK station,to determine the first location 112 (e.g., the first client device 100may use the one or more RTK corrective signals if the first clientdevice 100 is within range of one or more RTK stations and/or a signalstrength of RTK corrective signals exceeds the first RTK signal strengththreshold).

In some examples, if the first client device 100 is within range of oneor more RTK stations and one or more DGNSS stations, the first clientdevice 100 may select one or more RTK corrective signals or one or moreDGNSS corrective signals for use in determining the first location 112based upon an RTK location determination accuracy associated with RTKcorrective signals and a DGNSS location determination accuracyassociated with DGNSS corrective signals. In some examples, the RTKlocation determination accuracy may correspond to an accuracy with whichthe first client device 100 can determine a location of the first clientdevice 100 using RTK corrective signals received from an RTK station.The RTK location determination accuracy may be determined based upon adistance between the first client device 100 and the RTK station, whereas the distance between the first client device 100 and the RTK stationdecreases, the RTK location determination accuracy increases.Alternatively and/or additionally, the RTK location determinationaccuracy may be determined based upon a signal strength of one or moreRTK corrective signals received from an RTK station, where as the signalstrength increases, the RTK location determination accuracy increases.Alternatively and/or additionally, the DGNSS location determinationaccuracy may correspond to an accuracy with which the first clientdevice 100 can determine a location of the first client device 100 usingDGNSS corrective signals received from a DGNSS station. The DGNSSlocation determination accuracy may be determined based upon a distancebetween the first client device 100 and the DGNSS station, where as thedistance between the first client device 100 and the DGNSS stationdecreases, the DGNSS location determination accuracy increases.Alternatively and/or additionally, the DGNSS location determinationaccuracy may be determined based upon a signal strength of one or moreDGNSS corrective signals received from a DGNSS station, where as thesignal strength increases, the DGNSS location determination accuracyincreases. In some examples, if the RTK location determination accuracyis higher than the DGNSS location determination accuracy, the firstclient device 100 uses one or more RTK corrective signals (rather thanone or more DGNSS corrective signals) to determine the first location112. Alternatively and/or additionally, if the DGNSS locationdetermination accuracy is higher than the RTK location determinationaccuracy, the first client device 100 uses one or more DGNSS correctivesignals (rather than one or more RTK corrective signals) to determinethe first location 112.

In some examples, if the first client device 100 is within range of oneor more RTK stations and one or more DGNSS stations, the first clientdevice 100 determines to use one or more RTK corrective signals todetermine the first location 112 (without determining and/or comparingthe RTK location determination accuracy and/or the DGNSS locationdetermination accuracy), such as due to RTK corrective signals providingfor more accurate location determination as compared to DGNSS correctivesignals.

For example, RTK location determination accuracy using one or more RTKcorrective signals (received from an RTK station that is within range ofthe first client device 100, for example) may be associated with alocation error between about 2 centimeters to about 20 centimeters.Alternatively and/or additionally, DGNSS location determination accuracyusing one or more DGNSS corrective signals (received from a DGNSSstation that is within range of the first client device 100, forexample) may be associated with a location error between about 0.5meters to about 5 meters. Alternatively and/or additionally, locationdetermination accuracy using a set of GNSS signals (received from GNSSsatellites of the satellite navigation system, for example) withoutcorrective signals (e.g., without RTK corrective signals and/or DGNSScorrective signals) may be associated with a location error up to about10 meters. Accordingly, using corrective signals, such as RTK correctivesignals and/or DGNSS corrective signals, to determine locations of thefirst client device 100, provides for increased location determinationaccuracy as compared to merely using a set of GNSS signals (receivedfrom GNSS satellites of the satellite navigation system, for example).

In some examples, the one or more first conditions may comprise a secondcondition associated with whether the first client device 100 is indoorsor outdoors. An example of determining whether the second condition ismet is illustrated in FIG. 2B. In some examples, it may be determinedthat the second condition is met based upon a determination that thefirst client device 100 is outdoors. Alternatively and/or additionally,it may be determined that the second condition is not met based upon adetermination that the first client device 100 is indoors. In someexamples, a calibration process may be performed more accurately (and/ora more accurate barometric offset may be determined) using one or morebarometric pressure measures determined using the barometric sensor 102when the first client device 100 is outdoors, as compared to using oneor more barometric pressure measures determined using the barometricsensor 102 when the first client device 100 is indoors.

In some examples, whether the first client device 100 is indoors oroutdoors may be determined based upon the first location 112 of thefirst client device 100. Alternatively and/or additionally, whether thefirst client device 100 is indoors or outdoors may be determined usinggeographic information system (GIS) data. For example, the GIS data maycomprise first polygon information associated with a first regioncomprising the first location 112. The first polygon information may beindicative of one or more first polygons 110 (illustrated in FIG. 1B) inthe first region. A polygon of the one or more first polygons 110 maycomprise a representation (e.g., a geometrical representation) ofgeographical boundaries of an area comprising indoor space, such asgeographical boundaries of a building and/or a property containing abuilding.

In some examples, the first client device 100 may determine whether thefirst polygon information associated with the first region is stored onthe first client device 100. For example, the first client device 100may analyze a polygon information cache of the first client device 100to determine whether the first polygon information is stored in thepolygon information cache. In an example in which the first polygoninformation is stored on the first client device 100 (e.g., in thepolygon information cache), GIS data comprising the first polygoninformation may have previously been received and/or stored by the firstclient device 100. For example, responsive to receiving GIS data fromone or more GIS devices (e.g., one or more devices configured to provideGIS data to one or more client devices), the first client device 100 maystore polygon information indicated by the GIS data (e.g., the polygoninformation may be stored in a polygon information cache of the firstclient device 100). In some examples, polygon information stored on thefirst client device 100 may be removed based upon a determination thatthe first client device 100 has not used the polygon information for athreshold duration of time. Alternatively and/or additionally, polygoninformation stored on the first client device 100 may be removed (and/orreplaced with updated polygon information) based upon a determinationthat the polygon information was received more than a threshold durationof time before a current time and/or a determination that at least someof the polygon information may be inaccurate.

In some examples, the first client device 100 may determine that thefirst polygon information associated with the first region is not storedon the first client device 100 (e.g., the first client device 100 maydetermine that the polygon information cache does not comprise the firstpolygon information associated with the first region). In response todetermining that the first polygon information is not stored on thefirst client device 100, the first client device 100 may transmit, toone or more GIS devices, a request for the first polygon informationassociated with the first region. In an example, the request for thefirst polygon information may be indicative of the first location 112, aradius and/or one or more first dimensions associated with the firstregion. For example, a GIS device may provide the first polygoninformation associated with the first region based upon the firstlocation 112, the radius and/or the one or more first dimensions. In anexample, the first polygon information may be indicative of polygonswithin the radius of the first location 112. For example, the firstregion may comprise an area having the radius, wherein a center of thearea is based upon the first location 112. Alternatively and/oradditionally, the first region may comprise an area, having one or moredimensions corresponding to the one or more first dimensions, comprisingthe first location 112 (such as where a center of the first region isthe first location 112). In an example in which the one or more firstdimensions correspond to a 1 kilometer length and a 1 kilometer width,the first region may comprise a 1 kilometer by 1 kilometer area. Thefirst client device 100 may receive the first polygon information (fromone or more GIS devices, for example). In some examples, the firstclient device 100 may use the first polygon information (received fromthe one or more GIS devices, for example) to determine whether the firstclient device 100 is indoors or outdoors. Alternatively and/oradditionally, in response to receiving the first polygon information,the first client device 100 may store the first polygon information (thefirst polygon information may be stored in the polygon information cachefor later use, for example).

Alternatively and/or additionally, in response to determining that thefirst polygon information is stored on the first client device 100, thefirst client device 100 may not transmit the request for the firstpolygon information. In some examples, the first client device 100 mayuse the first polygon information (stored on the first client device100, for example) to determine whether the first client device 100 isindoors or outdoors. It may be appreciated that storing polygoninformation received from one or more GIS devices, and later using thepolygon information stored on the first client device 100 to determinewhether the first client device 100 is indoors or outdoors (and/or todetermine other information) may provide for a reduction in powerconsumption (such as due to fewer transmissions of requests for polygoninformation and/or fewer receptions of polygon information).

In some examples, the one or more first polygons 110 (comprisingpolygons 110 a, 110 b and/or 110 c illustrated in FIG. 1B, for example)in the first region may be identified based upon the first polygoninformation. In some examples, the one or more first polygons 110 maycorrespond to areas associated with indoor space. An indoor space maycorrespond to a space within which objects and/or people may beconsidered indoors (e.g., a house, an office building, other types ofbuildings, etc.). For example, a polygon of the one or more firstpolygons 110 may define geographical boundaries of an area (e.g., aproperty) comprising a space that is fully or partially enclosed by astructure (e.g., a structure, such as a building, comprising a roof, oneor more walls and/or one or more other structural elements). The firstlocation 112 of the first client device 100 may be compared with one ormore polygons of the one or more first polygons 110. Whether the firstclient device 100 is indoors or outdoors may be determined based uponthe comparison of the first location 112 with the one or more polygons.In an example, such as shown in FIG. 1B, it may be determined that thefirst client device 100 is outdoors based upon a determination that adistance between the first location 112 and a polygon (e.g., any polygonof the one or more first polygons 110) is larger than a first thresholddistance 106. For example, an area 108 having a radius corresponding tothe threshold distance 106 and having a center corresponding to thefirst location 112 does not overlap with a polygon (e.g., any polygon)of the one or more first polygons 110. In some examples, the firstthreshold distance 106 may be the same as and/or based upon a locationerror associated with the first client device 100 (e.g., the locationerror may be associated with a location determination accuracy withwhich locations, such as the first location 112, of the first clientdevice 100 are determined). In some examples, the location error (e.g.,a maximum location error) may correspond to a distance (e.g., a maximumdistance) between an actual location of the first client device 100 anda determined location of the first client device 100. In an example, thelocation determination accuracy and/or the location error may bedetermined based upon at least one of an availability of RTK correctivesignals and/or DGNSS corrective signals for the first client device 100,a signal strength of RTK corrective signals received from one or moreRTK stations, a signal strength of DGNSS corrective signals receivedfrom one or more DGNSS stations, a signal strength of GNSS signalsreceived from the satellite navigation system, etc. One or moreoperations (e.g., mathematical operations) may be performed using thelocation error (and/or one or more other values) to determine the firstthreshold distance 106 (e.g., the first threshold distance 106 may beequal to the location error). In an example in which the first clientdevice 100 uses one or more RTK corrective signals to determine thefirst location 112 and RTK location determination accuracy correspondsto a location error of about 10 centimeters, the first thresholddistance 106 may be equal to about 10 centimeters. In an example inwhich the first client device 100 uses one or more DGNSS correctivesignals to determine the first location 112 and DGNSS locationdetermination accuracy corresponds to a location error of about 50centimeters, the first threshold distance 106 may be equal to about 50centimeters. By accounting for the location determination accuracyand/or the location error associated with the first client device 100for determining whether the first client device 100 is outdoors orindoors, a determination that the first client device 100 is outdoors ismore likely to be correct as compared to determining whether the firstclient device is outdoors or indoors without accounting for the locationdetermination accuracy and/or the location error.

In some examples, the first polygon information may comprise one or moresecond polygons corresponding to entities other than areas associatedwith indoor space, such as at least one of roads, parks, landmarks,trails, etc. associated with outdoor space. In some examples, it may bedetermined that the first client device 100 is outdoors based upon adetermination that the first location 112 is within a polygon of the oneor more second polygons associated with outdoor space. In some examples,the first client device 100 may be considered to be outdoors if thefirst client device 100 is not enclosed (e.g., fully or partiallyenclosed) by a structure comprising at least one of one or more walls, aroof, etc.

In some examples, one or more signal strengths of one or more signals(e.g., one or more wireless signals) received by the first client device100 may be compared with one or more signal strength thresholds. The oneor more signals may comprise at least one of one or more GNSS signals,one or more cellular network signals (e.g., one or more signals receivedfrom a cellular base station), one or more corrective signals (e.g., oneor more RTK corrective signals received from an RTK station and/or oneor more DGNSS corrective signals received from a DGNSS station), one ormore other types of wireless signals, etc. In some examples, it may bedetermined that the first client device 100 is outdoors based upon adetermination that the one or more signal strengths of the one or moresignals received by the first client device 100 exceed the one or moresignal strength thresholds. For example, it may be determined that thefirst client device 100 is outdoors based upon a determination that atleast one of a signal strength of a GNSS signal received by the firstclient device 100 exceeds a first GNSS signal strength threshold, asignal strength of a cellular network signal exceeds a cellular networksignal strength threshold, a signal strength of an RTK corrective signalexceeds a second RTK signal strength threshold, a signal strength of aDGNSS corrective signal exceeds a second DGNSS signal strengththreshold, etc.

In some examples, the one or more first conditions may comprise a thirdcondition associated with an altitude determination accuracy of thefirst client device 100. An example of determining whether the thirdcondition is met is illustrated in FIG. 2C. In some examples, it may bedetermined that the third condition is met based upon a determinationthat the altitude determination accuracy of the first client device 100exceeds a first threshold altitude determination accuracy. Alternativelyand/or additionally, it may be determined that the third condition isnot met based upon a determination that the altitude determinationaccuracy of the first client device 100 is less than the first thresholdaltitude determination accuracy.

In some examples, the altitude determination accuracy may correspond toan accuracy with which the first client device 100 can determine analtitude of the first client device 100. The first client device 100 maydetermine an altitude of the first client device 100 based upon a set ofGNSS signals (received from GNSS satellites of the satellite navigationsystem, for example) and/or one or more corrective signals (e.g., one ormore RTK corrective signals and/or one or more DGNSS correctivesignals).

In some examples, a location, determined by the first client device 100using the set of GNSS signals and/or the one or more corrective signals,may be indicative of an altitude of the first client device 100, such asa vertical distance between the first client device 100 and a referencepoint, such as mean sea level, or other reference point. For example,the first client device 100 may determine the altitude of the firstclient device 100 based upon a location determined by the first clientdevice 100 using the set of GNSS signals and/or the one or morecorrective signals. For example, one or more coordinates of the locationmay be indicative of the altitude of the first client device 100 and/orthe altitude may be determined based upon the one or more coordinates.

Alternatively and/or additionally, the first client device 100 maydetermine an altitude of the first client device 100 based upongeographical information and a location determined by the first clientdevice 100 using the set of GNSS signals and/or the one or morecorrective signals. In some examples, the geographical information maybe indicative of a ground level altitude at the location. For example,the first client device 100 may transmit a request for the geographicalinformation to one or more devices of a geographical system (e.g., asystem configured to provide geographical information to one or moredevices). The request for the geographical information may be indicativeof the location. The geographical system may determine, based upon thelocation indicated by the request, the ground level altitude at thelocation. The altitude of the first client device 100 may be determinedbased upon the ground level altitude at the location (e.g., the altitudeof the first client device 100 may be determined to be equal to theground level altitude at the location, such as based upon an assumptionthat the first client device 100 is at ground level, such as due to thefirst client device 100 being outdoors).

Accordingly, an accuracy of the altitude of the first client device 100may depend upon an accuracy of a location determined using the set ofGNSS signals and/or the one or more corrective signals. Thus, the firstclient device 100 may determine the altitude determination accuracybased upon a location determination accuracy of the first client device100. Alternatively and/or additionally, the first client device 100 maydetermine the altitude determination accuracy based upon at least one ofwhether the first client device 100 is within range of an RTK stationand/or a DGNSS station, whether the first client device 100 is using anRTK corrective signal or a DGNSS corrective signal to determine alocation of the first client device 100 (where usage of an RTKcorrective signal may result in higher location determination accuracythan usage of a DGNSS corrective signal, for example), a signal strengthof RTK corrective signals received from an RTK station, a signalstrength of DGNSS corrective signals received from a DGNSS station, asignal strength of a set of GNSS signals received from GNSS satellitesof the satellite navigation system, etc.

In some examples, if the first client device 100 uses RTK correctivesignals to determine a location of the first client device 100 (such aswhen the first client device 100 is within range of an RTK stationand/or a signal strength of RTK corrective signals received by the firstclient device 100 exceeds an RTK signal strength threshold), the firstclient device 100 may determine the altitude determination accuracybased upon the signal strength of the RTK corrective signals and/or asignal strength of a set of GNSS signals received by the first clientdevice 100. It may be determined that the third condition is met basedupon a determination that the altitude determination accuracy(determined based upon the signal strength of the RTK corrective signalsand/or the signal strength of the set of GNSS signals, for example)exceeds the first threshold altitude determination accuracy.Alternatively and/or additionally, it may be determined that the thirdcondition is met based upon a determination that the signal strength ofthe RTK corrective signals exceeds a third RTK signal strength thresholdand/or the signal strength of the set of GNSS signals exceeds a secondGNSS signal strength threshold.

In some examples, if the first client device 100 uses DGNSS correctivesignals to determine a location of the first client device 100 (such aswhen the first client device 100 is within range of a DGNSS station, asignal strength of DGNSS corrective signals received by the first clientdevice 100 exceeds a DGNSS signal strength threshold, and/or the firstclient device 100 is not within range of an RTK station), the firstclient device 100 may determine the altitude determination accuracybased upon the signal strength of the DGNSS corrective signals and/or asignal strength of a set of GNSS signals received by the first clientdevice 100. It may be determined that the third condition is met basedupon a determination that the altitude determination accuracy(determined based upon the signal strength of the DGNSS correctivesignals and/or the signal strength of the set of GNSS signals, forexample) exceeds the first threshold altitude determination accuracy.Alternatively and/or additionally, it may be determined that the thirdcondition is met based upon a determination that the signal strength ofthe DGNSS corrective signals exceeds a third DGNSS signal strengththreshold and/or the signal strength of the set of GNSS signals exceedsthe second GNSS signal strength threshold.

In some examples, the one or more first conditions may comprise a fourthcondition associated with a speed of the first client device 100. Anexample of determining whether the fourth condition is met isillustrated in FIG. 2D. In some examples, it may be determined that thefourth condition is met based upon a determination that the speed isless than a first threshold speed. Alternatively and/or additionally, itmay be determined that the fourth condition is not met based upon adetermination that the speed is greater than the first threshold speed.For example, the speed of the first client device 100 exceeding thefirst threshold speed may inhibit an effectiveness of a calibrationprocess (e.g., a barometric offset determined via a calibration processperformed when the speed of the first client device 100 exceeds thefirst threshold speed may not be accurate).

In some examples, the speed of the first client device 100 may bedetermined using an accelerometer of the first client device 100.Alternatively and/or additionally, the speed may be determined basedupon locations (comprising the first location 112, for example) of thefirst client device 100 and/or times at which the first client device100 is at the locations, respectively (e.g., the speed may be determinedbased upon a distance traveled as indicated by the locations and aduration of time, as indicated by the times, in which the distance istraveled).

In some examples, the one or more first conditions may comprise a fifthcondition associated with the speed of the first client device 100. Insome examples, it may be determined that the fifth condition is metbased upon a determination that the speed exceeds a second thresholdspeed less than the first threshold speed (e.g., 3 miles-per-hour orother speed). Alternatively and/or additionally, it may be determinedthat the fifth condition is not met based upon a determination that thespeed is less than the second threshold speed.

A first calibration process associated with the barometric sensor 102may be performed. For example, the first calibration process may beperformed responsive to a determination that the second barometricoffset is invalid (e.g., the first condition is met), the first clientdevice 100 is outdoors (e.g., the second condition is met), the altitudedetermination accuracy of the first client device exceeds the firstthreshold altitude determination accuracy (e.g., the third condition ismet), the speed of the first client device 100 is less than the firstthreshold speed (e.g., the fourth condition is met), and/or the speed ofthe first client device 100 exceeds the second threshold speed (e.g.,the fifth condition is met). In some examples, the first calibrationprocess may be performed to determine a first barometric offsetassociated with barometric measurement using the barometric sensor 102.

A first plurality of barometric measurements may be performed using thebarometric sensor 102 to determine a first plurality of barometricpressure measures. In some examples, the first plurality of barometricmeasurements may comprise one or more first barometric measurementsperformed to determine one or more first barometric pressure measures.The first plurality of barometric pressure measures may comprise the oneor more first barometric pressure measures. In an example, the one ormore first barometric pressure measures may be identified (using one ormore of the techniques provided herein) for use in determining the firstbarometric offset.

A first plurality of locations of the first client device 100 may bedetermined. In some examples, a location of the first plurality oflocations (and/or each location of the first plurality of locations) maybe associated with a barometric measurement of the first plurality ofbarometric measurements and/or a barometric pressure measure of thefirst plurality of barometric pressure measures. For example, a locationof the first plurality of locations (and/or each location of the firstplurality of locations) may correspond to a location, of the firstclient device 100, at which a barometric measurement (of the firstplurality of barometric measurements) is performed to determine abarometric pressure measure of the first plurality of barometricpressure measures. In some examples, the first plurality of locationsmay be determined based upon a plurality of GNSS signals and/or aplurality of corrective signals (e.g., RTK corrective signals receivedfrom an RTK station and/or DGNSS corrective signals received from aDGNSS station). For example, a location of the first plurality oflocations (and/or each location of the first plurality of locations) maybe determined using a set of GNSS signals (one or more GNSS signalsreceived from GNSS satellites of the satellite navigation system, forexample) and/or one or more corrective signals (e.g., one or more RTKcorrective signals and/or one or more DGNSS corrective signals), such asusing one or more of the techniques provided herein with respect todetermining the first location 112.

FIG. 1C illustrates an example scenario in which the first plurality oflocations (shown with reference number 116 in FIG. 1C) and/or the firstplurality of barometric pressure measures (shown with reference number122 in FIG. 10) are determined via the first calibration process.Exemplary barometric pressure measures shown in FIG. 10 may be in unitsof millibars (mbar). In an example, a location of the first plurality oflocations 116 (and/or each location of the first plurality of locations116) may be associated with a barometric pressure measure of the firstplurality of barometric pressure measures 122. An association between alocation of the first plurality of locations 116 and a barometricpressure measure of the first plurality of barometric pressure measures122 is shown with a dashed line in FIG. 10. As an example, a location116 a of the first plurality of locations 116 is associated with abarometric pressure measure 122 a of the first plurality of barometricpressure measures 122 (as indicated by a dashed line in FIG. 10). Forexample, the location 116 a may be a location at which a barometricmeasurement is performed using the barometric sensor 102 to determinethe barometric pressure measure 122 a of the first plurality ofbarometric pressure measures 122.

In some examples, locations of the first plurality of locations 116and/or barometric pressure measures of the first plurality of barometricpressure measures 122 may be determined periodically. For example, thefirst calibration process may comprise periodically determining abarometric pressure measure of the first plurality of barometricpressure measures 122 and a location, of the first plurality oflocations 116, associated with the barometric pressure measure. In someexamples, in response to determining a barometric pressure measure ofthe first plurality of barometric pressure measures 122 and a location,of the first plurality of locations 116, associated with the barometricpressure measure, the barometric pressure measure and/or the locationmay be stored (in a calibration buffer, for example) for a firstduration of time. For example, the barometric pressure measure and/orthe location may be removed and/or deleted (from the calibration buffer,for example) upon (and/or in response to) the first duration of timepassing after the barometric pressure measure and/or the location aredetermined. In an example, the barometric pressure measure 122 a and/orthe location 116 a may be determined at a time t1. The first duration oftime may correspond to 30 seconds (or other duration of time, such as 1minute, 2 minutes, etc.). The barometric pressure measure 122 a and/orthe location 116 a may be removed and/or deleted at a time t1+30seconds. In some examples, the barometric pressure measure 122 a and/orthe location 116 a may be removed and/or deleted at the time t1+30seconds if the first client device 100 determines that the barometricpressure measure 122 a and/or the location 116 a are not to be used fordetermining the first barometric offset (e.g., a determination that thebarometric pressure measure 122 a and/or the location 116 a are not tobe used for determining the first barometric offset may be based upon adetermination that the one or more first barometric pressure measures,identified for use in determining the first barometric offset, do notcomprise the barometric pressure measure 122 a).

In some examples, in response to detecting one or more first triggerevents (and/or in response to occurrence of the one or more firsttrigger events), the one or more first barometric pressure measures ofthe first plurality of barometric pressure measures 122 may beidentified (for determining the first barometric offset, for example)and/or the first barometric offset may be determined.

In some examples, the one or more first trigger events may comprise afirst trigger event corresponding to a noise level, of one or moresecond barometric pressure measures of the first plurality of pressuremeasures 122, being less than a threshold noise level. In some examples,noise of barometric pressure samples, generated via barometricmeasurements of the first plurality of barometric measurements, arefiltered to generate barometric pressure measures of the first pluralityof barometric pressure measures 122. For example, the barometricpressure samples generated via the barometric sensor 102 may be filteredusing at least one of a z-filter to remove and/or reduce spikes (e.g.,spikes associated with noise of barometric pressure samples), a low passfilter to average noise across the barometric pressure samples, etc. Insome examples, a noise level of barometric pressure measures of thefirst plurality of pressure measures 122 may be determined (e.g.,periodically determined) and/or compared with the threshold noise level.The first trigger event may be detected by determining that a noiselevel of the one or more second barometric pressure measures, of thefirst plurality of pressure measures 122, is less than the thresholdnoise level.

In some examples, the one or more first trigger events may comprise asecond trigger event corresponding to a measure of vertical movement ofthe first client device 100 exceeding a threshold measure of verticalmovement. In some examples, the first client device 100 may monitorand/or determine (e.g., periodically monitor and/or determine) altitudesof the first client device 100. The first client device 100 maydetermine (e.g., periodically determine) a measure of vertical movementof the first client device 100 based upon the altitudes. In someexamples, the measure of vertical movement may correspond to at leastone of a rate at which the first client device 100 moves vertically, avertical change in position of the first client device 100 over time,etc. In some examples, an altitude of the altitudes (based upon whichthe measure of vertical movement is determined, for example) may bedetermined based upon a location of the first plurality of locations 116(e.g., one or more coordinates of the location may be indicative of thealtitude). Alternatively and/or additionally, an altitude of thealtitudes may be determined based upon the location and/or geographicalinformation. For example, the geographical information may be indicativeof a ground level altitude at the location, and/or the altitude of thefirst client device 100 may be determined based upon the ground levelaltitude (e.g., the altitude of the first client device 100 may bedetermined to be equal to the ground level altitude). The first clientdevice 100 may compare (e.g., periodically compare) a measure ofvertical movement of the first client device 100 with the thresholdmeasure of vertical movement (e.g., at least one of a threshold rate ofvertical movement, a threshold vertical change in position over time,etc.). The second trigger event may be detected by determining that ameasure of vertical movement of the first client device 100 exceeds thethreshold measure of vertical movement.

In some examples, the one or more first trigger events may comprise athird trigger event corresponding to the first client device 100 beingindoors and/or the first client device 100 entering an indoor spaceassociated with a polygon. In some examples, whether the first clientdevice 100 is indoors and/or whether the first client device 100 isentering an indoor space associated with a polygon may be determinedperiodically (e.g., once per unit of time, such as every 30 seconds,every 1 minute, etc.). For example, the first client device 100 maydetermine whether the first client device 100 is indoors and/or whetherthe first client device 100 is entering an indoor space by comparing oneor more locations (determined during the first calibration process, forexample) of the first client device 100 with one or more polygons(corresponding to one or more buildings, for example). Alternativelyand/or additionally, the first client device 100 may determine whetherthe first client device 100 is indoors and/or whether the first clientdevice 100 is entering an indoor space by comparing one or morelocations (determined during the first calibration process, for example)of the first client device 100 with one or more locations of one or morebuilding entrances (e.g., one or more entrances of one or more buildingsassociated with one or more polygons). For example, the one or morelocations of the one or more building entrances may be determined basedupon polygon information stored in the polygon information cache and/orreceived from one or more GIS devices.

Alternatively and/or additionally, one or more distances between one ormore locations of the first client device 100 and one or more polygonsmay be determined periodically (such as to determine whether the firstclient device 100 is indoors and/or whether the first client device 100is entering an indoor space associated with a polygon). Alternativelyand/or additionally, one or more distances between one or more locationsof the first client device 100 and one or more locations of one or morebuilding entrances may be determined periodically (such as to determinewhether the first client device 100 is indoors and/or whether the firstclient device 100 is entering an indoor space associated with a polygon)

In some examples, the first client device 100 may retrieve polygoninformation associated with the one or more locations for at least oneof determining whether the first client device 100 is indoors,determining whether the first client device 100 is entering an indoorspace, determining one or more distances between one or more locationsof the first client device 100 and one or more polygons, determining oneor more distances between one or more locations of the first clientdevice 100 and one or more locations of one or more building entrances,etc. In some examples, the polygon information may be retrieved from thepolygon information cache. Alternatively and/or additionally, if thepolygon information is not available and/or is not stored in the polygoninformation cache, the first client device 100 may transmit a requestfor the polygon information (using one or more of the techniquesprovided herein).

In an example, a location 116 b (of the first plurality of locations116, for example) of the first client device 100 may be determined, suchas shown in FIG. 10. It may be determined that a distance 120 betweenthe location 116 b of the first client device 100 and the polygon 110 c(corresponding to a building, for example) is less than a thirdthreshold distance. Alternatively and/or additionally, the distance 120may correspond to a distance between the location 116 b of the firstclient device 100 and a location of a building entrance (not shown)associated with the polygon 110 c (e.g., the building entrance maycorrespond to an entrance of the building corresponding to the polygon110 c). For example, the distance 120 may be determined based upon thelocation 116 b of the first client device 100 and the location of thebuilding entrance associated with the polygon 110 c.

In some examples, the third threshold distance may be the same as and/orbased upon the first threshold distance 106 (and/or the location error).The distance 120 being smaller than the third threshold distance mayindicate that the first client device 100 may be indoors (e.g., withinthe building corresponding to the polygon 110 c) or outdoors (e.g.,outside the building corresponding to the polygon 110 c), depending uponan accuracy with which the location 116 b is determined. Alternativelyand/or additionally, the distance 120 being smaller than the thirdthreshold distance may indicate that the first client device 100 isentering the building corresponding to the polygon 110 c.

The third trigger event may be detected by determining that at least oneof the first client device 100 indoors, the first client device isentering an indoor space, the distance 120 is smaller than the thirdthreshold distance, a location of the first client device 100 is withinthe polygon 110 c, a location of the first client device 100 is withinthe polygon 110 c and a distance between the location and an edge of thepolygon 110 c is larger than a threshold distance, etc.

The one or more first barometric pressure measures of the firstplurality of barometric pressure measures 122 may be identified (fordetermining the first barometric offset, for example). In some examples,the one or more first barometric pressure measures may be identified(and/or the first barometric offset may be determined based upon the oneor more first barometric pressure measures) in response to detecting theone or more first trigger events, such as in response to detecting thefirst trigger event (e.g., determining that a noise level of the one ormore second barometric pressure measures is less than the thresholdnoise level), detecting the second trigger event (e.g., determining thata measure of vertical movement of the first client device 100 exceedsthe threshold measure of vertical movement), and/or detecting the thirdtrigger event (e.g., determining that at least one of the first clientdevice 100 indoors, the first client device is entering an indoor space,the distance 120 is smaller than the third threshold distance, alocation of the first client device 100 is within the polygon 110 c, alocation of the first client device 100 is within the polygon 110 c anda distance between the location and an edge of the polygon 110 c islarger than a threshold distance, etc.).

Alternatively and/or additionally, the first client device 100 may stopdetermining locations and/or barometric pressure measures of the firstcalibration process in response to detecting the one or more firsttrigger events, such as in response to detecting the first trigger event(e.g., determining that a noise level of the one or more secondbarometric pressure measures is less than the threshold noise level),detecting the second trigger event (e.g., determining that a measure ofvertical movement of the first client device 100 exceeds the thresholdmeasure of vertical movement), and/or detecting the third trigger event(e.g., determining that at least one of the first client device 100indoors, the first client device is entering an indoor space, thedistance 120 is smaller than the third threshold distance, a location ofthe first client device 100 is within the polygon 110 c, a location ofthe first client device 100 is within the polygon 110 c and a distancebetween the location and an edge of the polygon 110 c is larger than athreshold distance, etc.). Alternatively and/or additionally, the firstclient device 100 may not stop determining locations and/or barometricpressure measures of the first calibration process in response todetecting the one or more first trigger events.

In some examples, in response to determining that the first clientdevice 100 is indoors (and/or within an area (e.g., indoor space)corresponding to the polygon 110 c), a geofence corresponding to thepolygon 110 c may be generated (by the first client device 100, forexample). In some examples, the geofence may enable the first clientdevice 100 to automatically detect when and/or whether the first clientdevice 100 crosses the geofence (such as by moving from inside the areacorresponding to the polygon 110 c to outside the area corresponding tothe polygon 110 c). Accordingly, prior to detection of the first clientdevice 100 crossing the geofence, the first client device 100 may knowand/or determine (without comparing a location of the first clientdevice 100 with polygons, for example) that the first client device 100is indoors and/or that the first client device 100 is within the areacorresponding to the polygon 110 c. Accordingly, prior to detection ofthe first client device 100 crossing the geofence, the first clientdevice 100 may not be required to compare a location of the first clientdevice 100 with polygons (such as for determining whether the one ormore first conditions are met and/or whether to perform a thirdcalibration process).

In some examples, the one or more first barometric pressure measures maycomprise one, some and/or all of the first plurality of barometricpressure measures 122. Alternatively and/or additionally, the one ormore first barometric pressure measures may comprise one, some and/orall of a second plurality of barometric pressure measures, of the firstplurality of barometric pressure measures 122, that are stored in thecalibration buffer (e.g., the second plurality of barometric pressuremeasures may comprise barometric pressure measures, of the firstplurality of barometric measures 122, that are not removed and/ordeleted from the calibration buffer). In some examples, the one or morefirst barometric pressure measures may be identified, from among thefirst plurality of barometric pressure measures 122 (and/or the secondplurality of pressure measures), for use in determining the firstbarometric offset. In some examples, the one or more first barometricpressure measures may be identified and/or used for determining thefirst barometric offset based upon a determination that a noise level ofthe one or more first barometric pressure measures is less than thethreshold noise level. For example, the one or more first barometricpressure measures may comprise the one or more second barometricpressure measures (having a noise level less than the threshold noiselevel, for example). Alternatively and/or additionally, the one or morefirst barometric pressure measures may be identified and/or used fordetermining the first barometric offset based upon a determination thatthe one or more first barometric pressure measures are determined viabarometric measurements that are performed (using the barometric sensor102, for example) when the first client device 100 is outdoors.Alternatively and/or additionally, the one or more first barometricpressure measures may be identified and/or used for determining thefirst barometric offset based upon a determination that the one or morefirst barometric pressure measures are determined via barometricmeasurements that are performed (using the barometric sensor 102, forexample) prior to the second trigger event being detected (and/or priorto a period of time in which a measure of vertical movement of the firstclient device 100 exceeds the threshold measure of vertical movement).

In some examples, the one or more first barometric pressure measures maybe selected based upon the first plurality of locations 116. Forexample, one or more first locations of the first plurality of locations116 may be selected, and/or the one or more first barometric pressuremeasures may be identified based upon a determination that the one ormore first barometric pressure measures are associated with the one ormore first locations. In some examples, the first barometric offset isdetermined using the one or more first barometric pressure measuresbased upon the one or more first barometric pressure measures beingassociated with the one or more first locations.

FIG. 1D illustrates an exemplary scenario in which the one or more firstlocations (shown with reference number 118) and/or the one or more firstbarometric pressure measures (shown with reference number 124) areidentified. In some examples, the second plurality of locations may beanalyzed to select the one or more first locations 118. The secondplurality of locations may comprise the first plurality of locations116. Alternatively and/or additionally, the second plurality oflocations may comprise locations, of the first plurality of locations116, that are stored in the calibration buffer. For example, the secondplurality of locations may comprise locations, of the first plurality oflocations 116, that are not removed and/or deleted from the calibrationbuffer. The one or more first locations 118 may be identified based upona determination that one or more distances 126 (e.g., distance 126 aand/or distance 126 b) between the one or more first locations 118 andthe polygon 110 c are larger than a fourth threshold distance and aresmaller than a fifth threshold distance. In some examples, the fourththreshold distance may be the same as and/or based upon the thirdthreshold distance, the first threshold distance and/or the locationerror. The fifth threshold distance is larger than the fourth thresholddistance. The one or more distances 126 (between the one or more firstlocations 118 and the polygon 110 c) being larger than the fourththreshold distance may indicate that the first client device 100 isoutdoors (e.g., definitively outdoors), taking the location error intoaccount, when the one or more first locations 118 and/or the one or morefirst barometric pressure measures 124 are determined (and/or that thefirst client device 100 is outdoors, taking the location error intoaccount, when the one or more first barometric measurements areperformed to determine the one or more first barometric pressuremeasures 124).

In some examples, the one or more first locations 118 may comprise alllocations, of the second plurality of locations, having distances to thepolygon 110 c that are larger than the fourth threshold distance andsmaller than the fifth threshold distance. Alternatively and/oradditionally, the one or more first locations 118 may comprise merelyone or some locations of a set of locations of the second plurality oflocations, wherein each location of the set of locations have a distanceto the polygon 110 c that is larger than the fourth threshold distanceand smaller than the fifth threshold distance. For example, the firstclient device 100 may select the one or more first locations 118 byselecting one or more locations, amounting to at most a maximum numberof locations, from among the set of locations. In an example in which anumber of locations of the set of locations exceeds the maximum numberof locations, the first client device 100 may select the one or morefirst locations 118 by selecting one or more locations, amounting to atmost the maximum number of locations, that are closest to the polygon110 c among the set of locations.

In an exemplary scenario, the set of locations (having distances to thepolygon 110 c that are larger than the fourth threshold distance andsmaller than the fifth threshold distance) may comprise a location 118 aof the one or more first locations 118, a location 118 b of the one ormore first locations 118 and/or a location 116 c of the second pluralityof locations. The distance 126 b between the location 118 b and thepolygon 110 c may be smaller than the distance 126 a between thelocation 118 a and the polygon 110 c. The distance 126 a between thelocation 118 a and the polygon 110 c may be smaller than a distancebetween the location 116 c and the polygon 110 c. Thus, among the set oflocations, the location 118 b is closest to the polygon 110 c, thelocation 118 a is second-closest to the polygon 110 c and the location116 c is third-closest to the polygon 110 c.

In a first example in which the maximum number of locations is 1, theone or more first locations 118 may comprise merely the location 118 b(based upon, among the set of locations, the location 118 b being theclosest to the polygon 110 c, for example). For example, the location118 a and the location 116 c may not be included in the one or morefirst locations 118 based upon the maximum number of locations being 1.

In a second example in which the maximum number of locations is 2, theone or more first locations 118 may comprise merely the location 118 band the location 118 a (based upon, among the set of locations, thelocation 118 b being the closest to the polygon 110 c and the location118 a being the second-closest to the polygon 110 c, for example). Forexample, the location 116 c may not be included in the one or more firstlocations 118 based upon the maximum number of locations being 2.

In a third example, in which the maximum number of locations is 3 (orthe maximum number of locations is greater than 3), the one or morefirst locations 118 may comprise the location 118 b, the location 118 aand the location 116 c (based upon, among the set of locations, thelocation 118 b being the closest to the polygon 110 c, the location 118a being the second-closest to the polygon 110 c and the location 116 cbeing the third-closest to the polygon 110 c, for example). In someexamples where a number of locations of the one or more first locations118 is not limited by the maximum number of locations, other locationsof the second plurality of locations may not be included in the one ormore first locations 118 based upon the other locations having distancesto the polygon 110 c that are larger than the fifth threshold distance.

In some examples, the fifth threshold distance may not be applied todetermine the one or more locations 118. For example, the first clientdevice 100 may select the one or more first locations 118 by selectingone or more locations, amounting to at most a maximum number oflocations, from among the second plurality of locations, based upon adetermination that, among the second plurality of locations, the one ormore first locations 118 are closest to the polygon 110 c (e.g., the oneor more first locations 118 may be selected based upon the one or morefirst locations 118 being closest to the polygon 110 c among the secondplurality of locations). In an example in which the maximum number oflocations is 1, the one or more first locations 118 may comprise merelythe location 118 b (based upon, among locations the second plurality oflocations with distances to the polygon 110 c that are larger than thefourth threshold distance, the location 118 b being the closest to thepolygon 110 c), regardless of whether the distance 126 b between thelocation 118 b and the polygon 110 c is smaller than the fifth thresholddistance. In an example in which the maximum number of locations is 2,the one or more first locations 118 may comprise merely the location 118b and the location 118 a (based upon, among locations the secondplurality of locations with distances to the polygon 110 c that arelarger than the fourth threshold distance, the location 118 b being theclosest to the polygon 110 c and the location 118 a being thesecond-closest to the polygon 110 c), regardless of whether the distance126 b and/or the distance 126 a are smaller than the fifth thresholddistance.

In some examples, the one or more first barometric pressure measures 124may be identified based upon the one or more first locations 118. Forexample, the one or more first barometric pressure measures 124 may beidentified based upon a determination that each barometric pressuremeasure of the one or more first barometric pressure measures 124 isassociated with a location of the one or more first locations 118 (e.g.,each barometric pressure measure of the one or more first barometricpressure measures 124 is determined via a barometric measurementperformed at a location of the one or more first locations 118).

In some examples, as a result of the one or more distances between theone or more first locations 118 and the polygon 110 c being larger thanthe fourth threshold distance (and/or the first client device 100selecting the one or more first barometric pressure measures 124associated with the one or more first locations 118), the one or morefirst barometric pressure measures 124 correspond to one or moremeasures that are determined when the first client device 100 isoutdoors, such as accounting for the location error (e.g., the one ormore first barometric measurements are performed to determine the one ormore first barometric pressure measures 124 when the first client deviceis outdoors). It may be appreciated that using the one or more firstbarometric pressure measures 124 that are determined when the firstclient device 100 is outdoors provides for an increase in accuracy ofthe first barometric offset (determined using one or more of thetechniques presented herein), as compared to determining the firstbarometric offset using one or more first barometric pressure measuresthat are determined when the first client device 100 is indoors. Theincrease in accuracy of the first barometric offset may be due to one ormore reference values (discussed herein) used to determine the firstbarometric offset being associated with outdoor conditions.

Alternatively and/or additionally, by selecting the one or more firstlocations 118 that are closest to and/or within the fifth thresholddistance of the polygon 110 c, by selecting the one or more firstbarometric pressure measures 124 based upon the one or more firstlocations 118 and/or by determining the first barometric offset basedupon the one or more first barometric pressure measures 124, an accuracywith which an altitude of the first client device 100 is determinedbased upon the first barometric offset when the first client device 100is within a building corresponding to the polygon 110 c is increased, ascompared to determining the altitude based upon a barometric offset thatis determined using barometric pressure measures associated withlocations that are further away from the polygon 110 c than the one ormore first locations 118.

Alternatively and/or additionally, by using corrective signals (e.g.,RTK corrective signals and/or DGNSS corrective signals) to determinelocations of the first plurality of locations 116, and/or by setting thefourth threshold distance based upon the location error, the fourththreshold distance may be smaller as compared to a scenario in which thelocations are determined without using corrective signals, such as dueto the location error being reduced as a result of an increased locationdetermination accuracy of the first client device 100 using correctivesignals as compared to a location determination accuracy without usingcorrective signals. Due to the smaller fourth threshold distance, theone or more first locations 118 associated with the one or more firstbarometric pressure measures 124 may be closer to the polygon 110 c ascompared to a scenario in which the fourth threshold distance is largerdue to a larger location error without using corrective signals.Accordingly, by selecting the one or more first barometric pressuremeasures 124 based upon the one or more first locations 118 and/or bydetermining the first barometric offset based upon the one or more firstbarometric pressure measures 124, an accuracy with which an altitude ofthe first client device 100 is determined based upon the firstbarometric offset when the first client device 100 is within a buildingcorresponding to the polygon 110 c is increased due to the one or morefirst locations 118 associated with the one or more first barometricpressure measures 124 being closer to the polygon 110 c.

In some examples, the first client device 100 may merely determine theone or more first barometric pressure measures 124, that are used fordetermining the first barometric offset, during the first calibrationprocess (rather than determining the first plurality of barometricpressure measures 122 and selecting the one or more first barometricpressure measures 124, from the first plurality of barometric pressuremeasures 122, for use in determining the first barometric offset, forexample).

Alternatively and/or additionally, the first client device 100 maymerely determine the one or more first locations 118, that are used fordetermining the first barometric offset, during the first calibrationprocess (rather than determining the first plurality of locations 116and selecting the one or more first locations 118, from the firstplurality of locations 116, for use in determining the first barometricoffset, for example).

In some examples, one or more reference values may be determined basedupon the one or more first locations 118, of the first client device100, associated with the one or more first barometric pressure measures124. In some examples, the one or more reference values may bedetermined based upon one or more mean sea level pressure valuesassociated with the one or more first locations 118. The one or moremean sea level pressure values may be determined based upon the one ormore first locations 118. In an example, a first reference value of theone or more reference values may be determined based upon a thirdlocation of the one or more first locations 118. For example, a firstmean sea level pressure value may be determined based upon the thirdlocation, and/or the first reference value may be determined based uponthe first mean sea level pressure value.

In an example, the one or more mean sea level pressure values may bereceived from one or more devices of the geographical system (e.g., asystem configured to provide geographical information to one or moredevices) and/or a weather system (e.g., a system configured to provideweather information to one or more devices). For example, a request forthe one or more mean sea level pressure values may be transmitted to oneor more devices of the geographical system and/or the weather system.The request may comprise an indication of the one or more firstlocations 118. One or more devices of the geographical system and/or theweather system may transmit information, comprising the one or more meansea level pressure values, based upon the one or more first locations118. Alternatively and/or additionally, the one or more mean sea levelpressure values may be determined based upon geographical informationand/or weather information. The geographical information and/or theweather information may be associated with the one or more firstlocations 118. For example, one or more requests for the geographicalinformation and/or the weather information may be transmitted to one ormore devices of the geographical system and/or the weather system. Theone or more requests may comprise an indication of the one or more firstlocations 118. One or more devices of the geographical system and/or theweather system may determine and/or transmit the geographicalinformation and/or the weather information based upon the one or morefirst locations 118.

FIG. 1E illustrates an exemplary scenario in which the first referencevalue of the one or more reference values is determined based upon thethird location of the first client device 100 and/or the first mean sealevel pressure value (shown with reference number 188 in FIG. 1E). Insome examples, a vertical distance 184 between mean sea level 180 andthe first client device 100 may be determined. In some examples, thevertical distance 184 may be determined based upon an altitude indicatedby the third location (determined using one or more corrective signals)of the first client device 100 (e.g., one or more coordinates of thethird location may be indicative of the altitude). Alternatively and/oradditionally, the vertical distance 184 may be determined based upon thethird location and/or geographical information (received from one ormore devices of the geographical system, for example). For example, aground level altitude at the third location may be determined based uponthe geographical information, and/or the vertical distance 184 betweenmean sea level 180 and the first client device 100 may be determinedbased upon the ground level altitude (e.g., the vertical distance 184between the mean sea level 180 and the first client device 100 may bedetermined based upon an assumption that the first client device 100 isat ground level, such as due to the first client device 100 beingoutdoors). Accordingly, an accuracy of the ground level altitude, anaccuracy of an altitude indicated by the third location, and/or anaccuracy of the vertical distance 184 may depend upon an accuracy withwhich the third location is determined. Thus, by using one or morecorrective signals to determine the third location, an accuracy withwhich the vertical distance 184 is determined may be increased ascompared to determining the vertical distance 184 based upon a locationdetermined without using one or more corrective signals. Alternativelyand/or additionally, by performing the first calibration process basedupon a determination that the third condition is met (e.g., adetermination at least one of that the altitude determination accuracyof the first client device 100 exceeds the first threshold altitudedetermination accuracy, a signal strength of one or more RTK correctivesignals exceeds the third RTK signal strength threshold, a signalstrength of one or more DGNSS signals exceeds the third DGNSS signalstrength threshold, a signal strength of one or more GNSS signalsexceeds the second GNSS signal strength threshold, etc.), an accuracywith which the vertical distance 184 is determined may be increased (ascompared to determining the vertical distance 184 based upon one or morelocations that are determined when the third condition is not met). Insome examples, the first reference value may be determined based uponthe vertical distance 184 and/or the first mean sea level pressure 188.For example, the first reference value may be equal to

${P_{0}e^{\frac{{- m}gh}{kT}}},$

wherein P₀ may correspond to the first mean sea level pressure 188, mmay correspond to a mass of one air molecule, g may correspond toacceleration due to gravity, h may correspond to the vertical distance184, k may correspond to Boltzmann's constant, and/or T may correspondto absolute temperature (e.g., the absolute temperature may bedetermined based upon one or more device-based temperature sensorsand/or weather information received from one or more devices associatedwith the weather system). It may be appreciated that by using one ormore of the techniques provided herein, an accuracy of the firstreference value may be increased as a result of the increase at leastone of the accuracy of the ground level altitude, the accuracy of thealtitude indicated by the third location, and/or the accuracy of thevertical distance 184. Accordingly, using one or more of the techniquesprovided herein, an accuracy of the first barometric offset and/or anaccuracy of one or more device altitudes of the first client device 100(determined using the first barometric offset) may be increased as aresult of the increase in accuracy of the first reference value (and/oran increase in accuracy of one or more other reference values of the oneor more reference values).

In some examples, the first barometric offset may be determined basedupon the first reference value and a first barometric pressure measure186, of the one or more first barometric pressure measures 124,associated with the third location. For example, the first barometricoffset may be determined based upon a difference between the firstbarometric pressure measure 186 and the first reference value. In someexamples in which the one or more reference values merely comprise thefirst reference value and/or the one or more first barometric pressuremeasures 124 merely comprise the first barometric pressure measure 186,the first barometric offset may be equal to the difference between thefirst barometric pressure measure 186 and the first reference value.

Alternatively and/or additionally, in an example in which the one ormore reference values comprise multiple reference values comprising oneor more other reference values other than the first reference value andthe one or more first barometric pressure measures 124 comprise multiplebarometric pressure measures comprising one or more other barometricpressure measures other than the first barometric pressure value 186,the one or more other reference values may be determined using one ormore of the techniques provided herein with respect to determining thefirst reference value. The first barometric offset may be determinedbased upon the multiple reference values and/or the multiple barometricpressure measures 124. In an example, multiple differences associatedwith the multiple reference values and the multiple barometric pressuremeasures 124 may be determined. For example, a difference of themultiple differences may correspond to a difference between a barometricpressure value of the multiple barometric pressure measures 124 (whereinthe barometric pressure value is associated with a location of the oneor more first locations 118) and a reference value of the multiplereference values (wherein the reference value is determined based uponthe location, for example). One or more operations (e.g., mathematicaloperations) may be performed using the multiple differences to determinethe first barometric offset. For example, the multiple differences maybe combined (e.g., averaged) to determine the first barometric offset.

Alternatively and/or additionally, the first barometric offset may bedetermined using information other than (and/or in addition to) mean sealevel pressure values, such as at least one of one or more reference sealevel altitudes associated with the one or more first locations 118(determined based upon the one or more first locations 118, forexample), one or more reference surface pressure values associated withthe one or more first locations 118 (determined based upon the one ormore first locations 118, for example), etc. In an example, the one ormore reference values may be determined based upon the one or morereference surface pressure values. For example, a reference value of theone or more reference values may correspond to and/or may be determinedbased upon a reference surface pressure value of the one or morereference surface pressure values. The reference surface pressure valuemay be received from one or more devices of the geographical systemand/or the weather system. Alternatively and/or additionally, thereference surface pressure value may be determined based upon weatherinformation (received from one or more devices of the geographicalsystem and/or the weather system, for example). The weather informationmay comprise weather pressure associated with the location and/or atemperature associated with a location, of the one or more locations116, associated with the reference surface pressure value. The referencesurface pressure value may be determined based upon the weather pressureand/or the temperature. In an example, one or more differencesassociated with the one or more reference surface pressure values andthe one or more first barometric pressure measures 124 may bedetermined. For example, a difference of the one or more differences maycorrespond to a difference between a barometric pressure value of theone or more first barometric pressure measures 124 (wherein thebarometric pressure value is associated with a location of the one ormore first locations 118) and a reference surface pressure value of theone or more reference surface pressure values (wherein the referencesurface pressure value is associated with and/or determined based uponthe location, for example). One or more operations (e.g., mathematicaloperations) may be performed using the one or more differences todetermine the first barometric offset. For example, the one or moredifferences may be combined (e.g., averaged) to determine the firstbarometric offset.

Alternatively and/or additionally, the one or more first locations 118(used to determine the one or more reference values) may comprise acurrent location of the first client device 100. The current location ofthe first client device 100 may be determined prior to and/or duringdetermination of the one or more reference values and/or determinationof the first barometric offset. Alternatively and/or additionally, thecurrent location may be determined in response to detecting the one ormore first trigger events, such as in response to detecting the firsttrigger event (e.g., determining that a noise level of the one or moresecond barometric pressure measures is less than the threshold noiselevel), detecting the second trigger event (e.g., determining that ameasure of vertical movement of the first client device 100 exceeds thethreshold measure of vertical movement), and/or detecting the thirdtrigger event (e.g., determining that at least one of the first clientdevice 100 indoors, the first client device is entering an indoor space,the distance 120 is smaller than the third threshold distance, alocation of the first client device 100 is within the polygon 110 c, alocation of the first client device 100 is within the polygon 110 c anda distance between the location and an edge of the polygon 110 c islarger than a threshold distance, etc.). In some examples, the currentlocation may be determined based upon a set of GNSS signals (receivedfrom GNSS satellites of the satellite navigation system, for example)and/or one or more corrective signals (e.g., one or more RTK correctivesignals and/or one or more DGNSS corrective signals). In some examples,the current location may be different than (and/or may not be comprisedwithin) the first plurality of locations 116. Alternatively and/oradditionally, the first plurality of locations 116 may comprise thecurrent location. In an example, the one or more first locations 118 maymerely comprise the current location of the first client device 100(and/or the one or more reference values may merely comprise a referencevalue determined based upon the current location). Alternatively and/oradditionally, the one or more first locations 118 may comprise one ormore locations (e.g., one or more locations of the first plurality oflocations 116) of the first client device 100 other than the currentlocation.

FIG. 1F illustrates an exemplary scenario in which the first barometricoffset (shown with reference number 136 in FIG. 1F) is determined. Forexample, the one or more reference values (shown with reference number130 in FIG. 1F) and/or the one or more first barometric pressuremeasures 124 may be input to a barometric offset determiner 134. Thebarometric offset determiner 134 may determine the first barometricoffset 136 based upon the one or more reference values 130 and/or theone or more first barometric pressure measures 124. In an example, thefirst client device 100 may comprise and/or implement the barometricoffset determiner 134.

In some examples, the first barometric offset 136 may be stored on thefirst client device 100, such as in the barometric offset buffer (e.g.,the fixed size buffer). A second barometric measurement may be performedusing the barometric sensor 102 to determine a second barometricpressure measure. In some examples, noise of a barometric pressuresample generated via the second barometric measurement is filtered togenerate the second barometric pressure measure. For example, thebarometric pressure sample may be filtered using at least one of az-filter, a low pass filter, etc. to generate the second barometricpressure measure. In some examples, the barometric pressure sample maybe filtered using the same z-filter and/or the same low pass filter usedfor filtering barometric pressure samples to generate barometricpressure measures of the first plurality of barometric pressure measures122. Information, such as at least one of an adjusted barometricpressure measure (shown with reference number 142 in FIG. 1G), a devicealtitude of the first client device 100, etc. may be determined (by thefirst client device 100, for example) based upon the second barometricpressure measure and the first barometric offset 136.

The adjusted barometric pressure measure 142 may correspond to acorrected barometric pressure measure that takes the first barometricoffset 136 (associated with an error of barometric measurement of thebarometric sensor 102, for example) into account. In some examples, oneor more operations (e.g., mathematical operations) may be performedusing the second barometric pressure measure and the first barometricoffset 136 to determine the adjusted barometric pressure measure 142.For example, the first barometric offset 136 may be at least one ofadded to, subtracted from, multiplied by, etc. the second barometricpressure measure to determine the adjusted barometric pressure measure142.

Alternatively and/or additionally, the adjusted barometric pressuremeasure 142 may be determined based upon a pressure change (e.g.,pressure drift). The pressure change may correspond to a change inbarometric pressure over time. The pressure change may be determinedbased upon a first pressure value associated with the first calibrationprocess and/or a second pressure value associated with the secondbarometric measurement. The first pressure value and/or the secondpressure value may correspond to outdoor barometric pressure conditions.In some examples, the first pressure value may correspond to at leastone of a mean sea level pressure, a surface pressure, etc. at a time atwhich the first calibration process is performed and/or at a time atwhich the one or more first barometric measurements are performed todetermine the one or more first barometric pressure measures 124. Insome examples, the second pressure value may correspond to at least oneof a mean sea level pressure, a surface pressure, etc. at a time atwhich the second barometric measurement is performed. The first pressurevalue and/or the second pressure value may be received from one or moredevices of the geographical system and/or the weather system (such as inresponse to transmitting a request for the first pressure value and/or arequest for the second pressure value). The first pressure value may beassociated with a location at which the first calibration process isperformed and/or the one or more first barometric measurements areperformed to determine the one or more first barometric pressuremeasures 124 (e.g., the request for the first pressure value maycomprise an indication of the one or more first locations 118 and/or theone or more devices may determine the first pressure value based uponthe indication). The second pressure value may be associated with alocation of the first client device 100 when the second barometricmeasurement is performed (e.g., the request for the second pressurevalue may comprise an indication of the location and/or the one or moredevices may determine the second pressure value based upon theindication). In some examples, the first pressure value may be received,determined and/or stored during the first calibration process. Forexample, the first pressure value may be the same as and/or based upon areference value (e.g., a reference pressure value) of the one or morereference values 130. For example, the first client device 100 may storethe first pressure value in response to determining (e.g., receiving)the first pressure value (that is used to determine the first barometricoffset 136, for example). In some examples, the pressure change may bedetermined based upon the first pressure value and/or the secondpressure value. For example, the pressure change may correspond toand/or may be determined based upon a difference between the firstpressure value and the second pressure value. The adjusted barometricpressure measure 142 may be determined based upon the second barometricpressure measure, the first barometric offset 136 and/or the pressurechange. In some examples, one or more operations (e.g., mathematicaloperations) may be performed using the second barometric pressuremeasure, the first barometric offset 136 and/or the pressure change todetermine the adjusted barometric pressure measure 142. For example, thepressure change may be at least one of added to, subtracted from,multiplied by, etc. a combination of the first barometric offset 136 andthe second barometric pressure measure to determine the adjustedbarometric pressure measure 142 (e.g., the first barometric offset 136may be at least one of added to, subtracted from, multiplied by, etc.the second barometric pressure measure to determine the combination).

In some examples, such as shown in FIG. 1G, a fourth location 140 of thefirst client device 100 may be determined. The fourth location 140 maybe determined based upon a set of GNSS signals (received from GNSSsatellites of the satellite navigation system, for example) and/or oneor more corrective signals (e.g., one or more RTK corrective signalsand/or one or more DGNSS corrective signals). In some examples, thefirst client device 100 may be indoors when the second barometricpressure measure and/or the adjusted barometric pressure measure 142 aredetermined. For example, the first client device 100 may be within abuilding corresponding to the polygon 110 c. In some examples, it may bedetermined that the first client device 100 is indoors (e.g., within thebuilding corresponding to the polygon 110 c) based upon the fourthlocation 140 of the first client device 100 (e.g., the fourth location140 of the first client device 100 may be compared with one or morepolygons to determine that the first client device 100 is within anindoor space associated with a polygon, such as within the buildingcorresponding to the polygon 110 c). In an example in which the geofence(corresponding to the polygon 110 c, for example) is generated, it maybe determined that the first client device 100 is indoors (e.g., withinthe building corresponding to the polygon 110 c) based upon the firstclient device 100 not having detected the first client device 100crossing the geofence. Alternatively and/or additionally, the firstclient device 100 may be outdoors when the second barometric pressuremeasure and/or the adjusted barometric pressure measure 142 aredetermined.

In some examples, the device altitude may correspond to at least one ofa height of the first client device 100, an elevation of the firstclient device 100, a vertical distance between the first client device100 and a reference point, etc. In an example, the reference point maycorrespond to at least one of sea level, ground level, etc.

FIG. 1H illustrates an exemplary scenario in which the device altitude(shown with reference number 162) is determined based upon the adjustedbarometric pressure measure 142 and/or a first barometric pressure value154. The adjusted barometric pressure measure 142 may be determined whenthe first client device 100 is within a building 150 (e.g., amulti-floor building), such as corresponding to the polygon 110 c. Insome examples, the first barometric pressure value 154 may correspond toindoor pressure (e.g., a barometric pressure within an indoor space,such as a barometric pressure within the building 150). Alternativelyand/or additionally, the first barometric pressure value 154 maycorrespond to ground level pressure (e.g., a barometric pressure atground level 152). In some examples, the first barometric pressure value154 may be received from one or more devices of the geographical systemand/or the weather system. In an example, the first client device 100may transmit a request for the first barometric pressure value 154 tothe one or more devices. The request for the first barometric pressurevalue 154 may be indicative of a location (e.g., the fourth location140) of the first client device 100. The one or more devices maydetermine the first barometric pressure value 154 based upon thelocation and/or the one or more devices may transmit the firstbarometric pressure value 154 to the first client device 100.

Alternatively and/or additionally, the first barometric pressure value154 may be determined (by the first client device 100, for example)using the barometric sensor 102. For example, in response to detectingthe first client device 100 entering and/or being within the building150 (such as by monitoring a location of the first client device 100and/or by comparing one or more locations of the first client device 100with the polygon 110 c), the first client device 100 may perform abarometric pressure measurement to determine a third barometric pressuremeasure. The first barometric pressure value 154 may be determined basedupon the third barometric pressure measure and/or the first barometricoffset 136. The barometric pressure measurement may be performed at atime at which at least one of a floor, an altitude, a level, etc. of thefirst client device 100 is known (by the first client device 100, forexample). In an example, the barometric pressure measurement may beperformed within a threshold duration of time from the first clientdevice 100 entering the building 150. In some examples, by performingthe barometric pressure measurement within the threshold duration oftime from the first client device 100 entering the building 150, thefirst client device 100 may determine (e.g., know) that the barometricpressure measurement is performed when the first client device 100 is ata second altitude associated with an entrance 166 through which thefirst client device 100 entered the building 150 (such as based upon thethreshold duration of time being less than a duration of time in whichthe first client device 100 would be moved to a floor different than afloor of the entrance 166). In an example, the second altitude maycorrespond to ground level 152 and/or other altitude (e.g., an altitudeof the floor of the entrance 166, such as floor 1 in FIG. 1H).

In some examples, the device altitude 162 may be determined based uponthe adjusted barometric pressure measure 142 and/or the first barometricpressure value 154. In some examples, the device altitude 162 maycorrespond to a vertical distance between the first client device 100and a reference point, such as at least one of a location correspondingto the first barometric pressure value 154 (e.g., floor 1), ground level152, sea level, etc.

FIG. 1I illustrates an exemplary scenario in which the device altitude162 is determined based upon the adjusted barometric pressure measure142 and/or a second barometric pressure value 156. In some examples, thesecond barometric pressure value 156 may correspond to outdoor pressure(e.g., a barometric pressure of a space that is not within an indoorspace). Alternatively and/or additionally, the second barometricpressure value 156 may correspond to ground level pressure (e.g., abarometric pressure at ground level 152). In some examples, the secondbarometric pressure value 156 may be based upon and/or the same as asurface pressure value. Alternatively and/or additionally, the secondbarometric pressure value 156 may be the same as and/or based upon amean sea level pressure value. In some examples, information used todetermine the second barometric pressure value 156 may be received fromone or more devices of the geographical system and/or the weathersystem. In an example, the first client device 100 may transmit arequest for the information to the one or more devices. The request forthe information may be indicative of a location (e.g., the fourthlocation 140) of the first client device 100. The one or more devicesmay determine the information based upon the location and/or the one ormore devices may transmit the information to the first client device100. In some examples, the information may comprise at least one of thesecond barometric pressure value 156, the surface pressure value, themean sea level pressure value, a first temperature 164 (e.g., an outdoortemperature associated with the location indicated by the request forthe information), etc. Accordingly, the first client device 100 maydetermine the second barometric pressure value 156 based upon theinformation. The first client device 100 may determine a thirdbarometric pressure value 158 based upon the second barometric pressurevalue 156, the first temperature 164 and/or a second temperature 160.The second temperature 160 may be an indoor temperature 160, such as atemperature within the building 150. The second temperature 160 may bedetermined using a temperature sensor. Alternatively and/oradditionally, the second temperature 160 may be set to an indoortemperature that is stored on the first client device 100 (e.g., atleast one of a device measured temperature, a standard indoortemperature, a standard room temperature, an expected temperaturebetween about 68° Fahrenheit to about 72° Fahrenheit, etc.). The thirdbarometric pressure value 158 may be determined based upon the secondbarometric pressure value 156 and/or a temperature difference betweenoutside the building 150 and inside the building 150 (e.g., thetemperature difference may be determined based upon the firsttemperature 164 and the second temperature 160). In some examples, thedevice altitude 162 may be determined based upon the adjusted barometricpressure measure 142 and/or the third barometric pressure value 158. Insome examples, the device altitude 162 may correspond to a verticaldistance between the first client device 100 and a reference point, suchas at least one of ground level 152, sea level, a location correspondingto the third barometric pressure value 158, etc.

FIG. 1J illustrates the first client device 100 transmitting reportinginformation 170 to a location tracking system 172, according to someembodiments. In some examples, the reporting information 170 comprisesone or more of the device altitude 162, the fourth location 140 and/orthe adjusted barometric pressure measure 142. In some implementations,the location tracking system 172 may store and/or determine the devicealtitude 162 of the first client device 100 for use by other systemsand/or applications (some of which are described below). Alternativelyor additionally, in some examples, the location tracking system 172 maydetermine a floor (of the building 150, for example) that the firstclient device 100 is located on based upon the reporting information 170for use by the first client device 100, other systems and/orapplications (some of which are described below). For example, thelocation tracking system 172 may determine the building 150 within whichthe first client device 100 is located based upon the fourth location140. Alternatively and/or additionally, the location tracking system 172may access building information (e.g., a blueprint, structuralinformation, etc.) associated with the building 150. The locationtracking system 172 may determine the floor based upon the buildinginformation and/or the device altitude 162 (and/or the adjustedbarometric pressure measure 142).

In some examples, the location tracking system 172 may track a locationof the first client device 100 and/or the floor on which the firstclient device 100 is located. In some examples, the location trackingsystem 172 may determine locating information based upon the reportinginformation 170. For example, the locating information may be indicativeof the floor. Alternatively and/or additionally, the locatinginformation may be indicative of a location, within the floor, at whichthe first client device 100 is located. For example, the locatinginformation may comprise a representation of the floor (such as a floormap showing boundaries of one or more areas, such as one or more roomsand/or units of the floor), wherein the representation of the floorcomprises an indication of the location of the first client device 100.

In some examples, the location tracking system 172 may provide thelocating information via an interface, such as an applicationprogramming interface (API) and/or a graphical user interface (GUI) toallow for information display. The locating information may be used todetermine the device altitude 162 at which the first client device 100is located, the floor on which the first client device 100 is locatedand/or a part of the floor (e.g., a room, a section and/or a unit of thefloor) in which the first client device 100 is located.

In some examples, such as where the first client device 100 is coupledto an item, the locating information may be used to determine the devicealtitude 162, the floor and/or the part of the floor to locate the item.For example, the item may be located and/or retrieved using the locatinginformation.

Alternatively and/or additionally, in some examples, such as where thefirst client device 100 belongs to and/or is carried and/or used by aperson, the locating information may be used to determine the devicealtitude 162, the floor and/or the part of the floor to locate theperson. For example, the person may be located using the locatinginformation. In some examples, the locating information may be used byone or more entities, such as at least one of one or more guardians ofthe person, one or more users having authorization to the locatinginformation, one or more first responders, etc.

In an example, the one or more first responders may use the locatinginformation to locate the person and/or perform a rescue operation, suchas where an emergency associated with the person is identified. The oneor more first responders may be provided with the locating information,and/or may use the locating information to perform the rescue operation.FIG. 1K illustrates the location tracking system 172 transmitting thelocating information (shown with reference number 176 in FIG. 1K) to afirst responder management device 178, according to some embodiments. Insome examples, the first responder management device 178 may provide oneor more first responders (and/or one or more devices associated with theone or more first responders) with the locating information 176 suchthat the one or more first responders can perform the rescue operation,such as by assisting the person (and/or one or more other people) on thefloor (such as where the person and/or the one or more other people aretrapped on the floor). Alternatively and/or additionally, the locationtracking system 172 may generate and/or transmit instructions to thefirst client device 100. The instructions may be indicative of actionsthe person may take for safety. Alternatively and/or additionally, theinstructions may be indicative of at least one directions for exitingthe building, directions to one or more first responders that may assistthe person, at least some of the locating information 176, etc.

In some examples, the second barometric measurement may be performed,the adjusted barometric pressure measure 142 and/or the device altitude162 may be determined, and/or the reporting information 170 may betransmitted to the location tracking system 172 in response to a triggerevent. In some examples, the trigger event may comprise receiving arequest for the reporting information 170 (from the location trackingsystem 172 and/or other system, for example). Alternatively and/oradditionally, the trigger event may comprise receiving a request for thedevice altitude 162 and/or the locating information 176 via an interface(e.g., at least one of an API, a GUI, etc.) of the first client device100 and/or other device. For example, in response to the request for thedevice altitude 162 and/or the locating information 176, the devicealtitude 162 and/or the locating information 176 may be determinedand/or provided via the interface. Alternatively and/or additionally, inresponse to the request for the device altitude 162 and/or the locatinginformation 176, the device altitude 162 and/or the locating information176 may be determined (and/or provided via the interface) for use by thefirst client device 100, other systems and/or applications.Alternatively and/or additionally, the trigger event may correspond toan emergency event (such as an event in which a rescue operation may beperformed to assist the person and/or one or more other people) detectedby the first client device 100 and/or the location tracking system 172.In an example, the emergency event may be detected based upon an inputreceived via the first client device 100, such as one or more selectionsof one or more selectable inputs corresponding to the emergency event, acall (e.g., at least one of a telephone call, a video call, a (VoiceOver Internet Protocol) call, etc.) being placed to an emergency service(e.g., 911, enhanced 911 and/or other emergency service), a messagebeing sent to an emergency service, etc.

In some examples, after performing the first calibration process and/ordetermining the first barometric offset 136, the first client device 100may determine (periodically, for example) whether the one or more firstconditions for performing a calibration process associated with thebarometric sensor 102 are met. In an example in which the geofence(corresponding to the polygon 110 c, for example) is generated, thefirst client device 100 may not determine whether the one or more firstconditions are met before detecting the first client device 100 crossingthe geofence (e.g., it may be determined and/or assumed that the firstclient device 100 is indoors, such as within the building correspondingto the polygon 110 c, until the first client device 100 crossing thegeofence is detected), which may provide for a reduction in powerconsumption of the first client device 100 (e.g., as a result of thefirst client device 100 not performing operations to determine whetherthe one or more first conditions are met before the first client device100 crosses the geofence).

In some examples, the first client device 100 may have one or morefunctionalities, one or more computing programs and/or data of thelocation tracking system 172. Alternatively and/or additionally, thelocation tracking system 172 may be implemented by the first clientdevice 100. Alternatively and/or additionally, some and/or alloperations performed by the location tracking system 172 as providedherein may be performed by the first client device 100, in accordancewith some embodiments. Alternatively and/or additionally, some and/orall operations performed by the first client device 100 as providedherein may be performed by the location tracking system 172, inaccordance with some embodiments.

An embodiment of calibrating barometric sensors and/or determiningaltitudes of devices is illustrated by an exemplary method 300 of FIG.3. At 302, one or more barometric measurements may be performed todetermine one or more barometric pressure measures (e.g., the one ormore first barometric pressure measures 124). The one or more barometricmeasurements may be performed using a barometric sensor (e.g., thebarometric sensor 102) of a device (e.g., the first client device 100).At 304, one or more GNSS signals and/or one or more corrective signals(e.g., one or more RTK corrective signals and/or one or more DGNSScorrective signals) may be received. At 306, one or more locations(e.g., the one or more first locations 118) of the device may bedetermined based upon the one or more GNSS signals and the one or morecorrective signals. At 308, one or more reference values (e.g., the oneor more reference values 130) may be determined based upon the one ormore locations of the device. At 310, a barometric offset (e.g., thefirst barometric offset 136) associated with barometric measurementusing the barometric sensor may be determined based upon the one or morebarometric pressure measures and the one or more reference values. At312, a first barometric measurement may be performed using thebarometric sensor to determine a first barometric pressure measure(e.g., the second barometric pressure measure discussed with respect toFIGS. 1A-1K). An adjusted barometric pressure measure (e.g., theadjusted barometric pressure measure 142) and/or an altitude (e.g., thedevice altitude 162) may be determined based upon the first barometricpressure measure and the barometric offset (e.g., the device maydetermine the adjusted barometric pressure measure and/or the altitudebased upon the first barometric pressure measure and the barometricoffset).

According to some embodiments, a method is provided. The method includesperforming one or more barometric measurements using a barometric sensorof a device to determine one or more barometric pressure measures;receiving one or more GNSS signals and one or more corrective signalsassociated with the one or more GNSS signals; determining, based uponthe one or more GNSS signals and the one or more corrective signals, oneor more locations of the device; determining one or more referencevalues based upon the one or more locations of the device; determining,based upon the one or more barometric pressure measures and the one ormore reference values, a barometric offset associated with barometricmeasurement using the barometric sensor; and performing a firstbarometric measurement using the barometric sensor to determine a firstbarometric pressure measure, wherein an altitude of the device isdetermined based upon the first barometric pressure measure and thebarometric offset.

According to some embodiments, the method includes performing acalibration process associated with the barometric sensor of the device,wherein the calibration process includes the performing the one or morebarometric measurements to determine the one or more barometric pressuremeasures; the determining the one or more locations of the device; andthe determining the barometric offset.

According to some embodiments, the method includes determining that thedevice is outdoors, wherein the calibration process is performedresponsive to the determining that the device is outdoors.

According to some embodiments, the method includes receiving a signal;and comparing a signal strength of the signal with a signal strengththreshold to determine whether the signal strength exceeds the signalstrength threshold, wherein the determining that the device is outdoorsis based upon a determination that the signal strength exceeds thesignal strength threshold.

According to some embodiments, the signal is a GNSS signal and/or acellular network signal.

According to some embodiments, the method includes receiving one or moresecond GNSS signals and one or more second corrective signals associatedwith the one or more second GNSS signals; determining, based upon theone or more second GNSS signals and the one or more corrective signals,one or more second locations of the device; and comparing the one ormore second locations of the device with a polygon including arepresentation of geographical boundaries of an area including indoorspace, wherein the determining that the device is outdoors is based uponthe comparison of the one or more second locations with the polygon.

According to some embodiments, the determining that the device isoutdoors is based upon a determination that one or more distancesbetween the one or more first locations and the polygon are larger thana threshold distance.

According to some embodiments, the threshold distance is based upon alocation error associated with the one or more second locations.

According to some embodiments, the method includes determining analtitude determination accuracy of the device; and comparing thealtitude determination accuracy of the device with a threshold altitudedetermination accuracy to determine whether the altitude determinationaccuracy of the device exceeds the threshold altitude determinationaccuracy, wherein the calibration process is performed responsive todetermining that the altitude determination accuracy exceeds thethreshold altitude determination accuracy.

According to some embodiments, the method includes receiving one or moresecond corrective signals, wherein the determining the altitudedetermination accuracy is performed based upon one or more signalstrengths of the one or more second corrective signals.

According to some embodiments, the method includes performing barometricmeasurements using the barometric sensor of the device to determine aplurality of barometric pressure measures including the one or morebarometric pressure measures; receiving a plurality of GNSS signals,including the one or more GNSS signals, and a plurality of correctivesignals, including the one or more corrective signals, associated withthe plurality of GNSS signals; determining, based upon the plurality ofGNSS signals and the plurality of corrective signals, a plurality oflocations of the device comprising the one or more locations of thedevice; and determining a measure of vertical movement of the devicebased upon one or more second locations of the plurality of locations,wherein the determining the barometric offset, based upon the one ormore barometric pressure measures of the plurality of barometricpressure measures, is performed responsive to determining that themeasure of vertical movement exceeds a threshold measure of verticalmovement.

According to some embodiments, the method includes performing barometricmeasurements using the barometric sensor of the device to determine aplurality of barometric pressure measures including the one or morebarometric pressure measures, wherein the determining the plurality ofbarometric pressure measures includes filtering noise of barometricpressure samples, generated via barometric measurements performed usingthe barometric sensor, to determine barometric pressure measures of theplurality of barometric pressure measures; and the determining thebarometric offset, based upon the one or more barometric pressuremeasures of the plurality of barometric pressure measures, is performedresponsive to determining that a noise level of one or more secondbarometric pressure measures of the plurality of barometric pressuremeasures is less than a threshold noise level.

According to some embodiments, a first location of the one or morelocations corresponds to a location at which a barometric measurement isperformed using the barometric sensor to determine a second barometricpressure measure of the one or more barometric pressure measures.

According to some embodiments, the method includes identifying, basedupon the first location of the one or more locations, a mean sea levelpressure value associated with the first location, wherein a referencevalue of the one or more reference values is based upon the mean sealevel pressure value.

According to some embodiments, the method includes determining, basedupon the one or more locations, one or more altitudes of the device,wherein the determining the barometric offset is based upon the one ormore altitudes of the device.

According to some embodiments, the one or more corrective signalsinclude one or more DGNSS corrective signals and/or one or more RTKcorrective signals.

According to some embodiments, a non-transitory computer-readablemedium, storing instructions that when executed perform operations, isprovided. The operations include performing one or more barometricmeasurements using a barometric sensor of a device to determine one ormore barometric pressure measures; receiving one or more GNSS signalsand one or more DGNSS corrective signals associated with the one or moreGNSS signals; determining, based upon the one or more GNSS signals andthe one or more DGNSS corrective signals, one or more locations of thedevice; determining one or more reference values based upon the one ormore locations of the device; determining, based upon the one or morebarometric pressure measures and the one or more reference values, abarometric offset associated with barometric measurement using thebarometric sensor; and performing a first barometric measurement usingthe barometric sensor to determine a first barometric pressure measure,wherein an adjusted barometric pressure measure and/or an altitude ofthe device are determined based upon the first barometric pressuremeasure and the barometric offset.

According to some embodiments, the operations include determining analtitude determination accuracy of the device; and comparing thealtitude determination accuracy of the device with a threshold altitudedetermination accuracy to determine whether the altitude determinationaccuracy of the device exceeds the threshold altitude determinationaccuracy, wherein a calibration process is performed responsive todetermining that the altitude determination accuracy exceeds thethreshold altitude determination accuracy, wherein the calibrationprocess includes the performing the one or more barometric measurementsto determine the one or more barometric pressure measures; thedetermining the one or more locations of the device; and the determiningthe barometric offset.

According to some embodiments, a device is provided. The device includesa processor coupled to memory, the processor configured to executeinstructions to perform operations. The operations include performingone or more barometric measurements using a barometric sensor of thedevice to determine one or more barometric pressure measures; receivingone or more GNSS signals and one or more RTK corrective signalsassociated with the one or more GNSS signals; determining, based uponthe one or more GNSS signals and the one or more RTK corrective signals,one or more locations of the device; determining one or more referencevalues based upon the one or more locations of the device; determining,based upon the one or more barometric pressure measures and the one ormore reference values, a barometric offset associated with barometricmeasurement using the barometric sensor; and performing a firstbarometric measurement using the barometric sensor to determine a firstbarometric pressure measure, wherein an adjusted barometric pressuremeasure and/or an altitude of the device are determined based upon thefirst barometric pressure measure and the barometric offset.

According to some embodiments, the operations include determining, basedupon the one or more locations, one or more altitudes of the device andone or more mean sea level pressure values associated with the one ormore locations, wherein the determining the barometric offset is basedupon the one or more altitudes of the device and the one or more meansea level pressure values.

FIG. 4 is an interaction diagram of a scenario 400 illustrating aservice 402 provided by a set of computers 404 to a set of clientdevices 410 via various types of transmission mediums. The computers 404and/or client devices 410 may be capable of transmitting, receiving,processing, and/or storing many types of signals, such as in memory asphysical memory states.

The computers 404 of the service 402 may be communicatively coupledtogether, such as for exchange of communications using a transmissionmedium 406. The transmission medium 406 may be organized according toone or more network architectures, such as computer/client,peer-to-peer, and/or mesh architectures, and/or a variety of roles, suchas administrative computers, authentication computers, security monitorcomputers, data stores for objects such as files and databases, businesslogic computers, time synchronization computers, and/or front-endcomputers providing a user-facing interface for the service 402.

Likewise, the transmission medium 406 may comprise one or moresub-networks, such as may employ different architectures, may becompliant or compatible with differing protocols and/or may interoperatewithin the transmission medium 406. Additionally, various types oftransmission medium 406 may be interconnected (e.g., a router mayprovide a link between otherwise separate and independent transmissionmedium 406).

In scenario 400 of FIG. 4, the transmission medium 406 of the service402 is connected to a transmission medium 408 that allows the service402 to exchange data with other services 402 and/or client devices 410.The transmission medium 408 may encompass various combinations ofdevices with varying levels of distribution and exposure, such as apublic wide-area network and/or a private network (e.g., a virtualprivate network (VPN) of a distributed enterprise).

In the scenario 400 of FIG. 4, the service 402 may be accessed via thetransmission medium 408 by a user 412 of one or more client devices 410,such as a portable media player (e.g., an electronic text reader, anaudio device, or a portable gaming, exercise, or navigation device); aportable communication device (e.g., a camera, a phone, a wearable or atext chatting device); a workstation; and/or a laptop form factorcomputer. The respective client devices 410 may communicate with theservice 402 via various communicative couplings to the transmissionmedium 408. As a first such example, one or more client devices 410 maycomprise a cellular communicator and may communicate with the service402 by connecting to the transmission medium 408 via a transmissionmedium 407 provided by a cellular provider. As a second such example,one or more client devices 410 may communicate with the service 402 byconnecting to the transmission medium 408 via a transmission medium 409provided by a location such as the user's home or workplace (e.g., aWiFi (Institute of Electrical and Electronics Engineers (IEEE) Standard802.11) network or a Bluetooth (IEEE Standard 802.15.1) personal areanetwork). In this manner, the computers 404 and the client devices 410may communicate over various types of transmission mediums.

FIG. 5 presents a schematic architecture diagram 500 of a computer 404that may utilize at least a portion of the techniques provided herein.Such a computer 404 may vary widely in configuration or capabilities,alone or in conjunction with other computers, in order to provide aservice such as the service 402.

The computer 404 may comprise one or more processors 510 that processinstructions. The one or more processors 510 may optionally include aplurality of cores; one or more coprocessors, such as a mathematicscoprocessor or an integrated graphical processing unit (GPU); and/or oneor more layers of local cache memory. The computer 404 may comprisememory 502 storing various forms of applications, such as an operatingsystem 504; one or more computer applications 506; and/or various formsof data, such as a database 508 or a file system. The computer 404 maycomprise a variety of peripheral components, such as a wired and/orwireless network adapter 514 connectible to a local area network and/orwide area network; one or more storage components 516, such as a harddisk drive, a solid-state storage device (SSD), a flash memory device,and/or a magnetic and/or optical disk reader.

The computer 404 may comprise a mainboard featuring one or morecommunication buses 512 that interconnect the processor 510, the memory502, and various peripherals, using a variety of bus technologies, suchas a variant of a serial or parallel AT Attachment (ATA) bus protocol; aUniform Serial Bus (USB) protocol; and/or Small Computer SystemInterface (SCI) bus protocol. In a multibus scenario, a communicationbus 512 may interconnect the computer 404 with at least one othercomputer. Other components that may optionally be included with thecomputer 404 (though not shown in the schematic architecture diagram 500of FIG. 5) include a display; a display adapter, such as a graphicalprocessing unit (GPU); input peripherals, such as a keyboard and/ormouse; and a flash memory device that may store a basic input/outputsystem (BIOS) routine that facilitates booting the computer 404 to astate of readiness.

The computer 404 may operate in various physical enclosures, such as adesktop or tower, and/or may be integrated with a display as an“all-in-one” device. The computer 404 may be mounted horizontally and/orin a cabinet or rack, and/or may simply comprise an interconnected setof components. The computer 404 may comprise a dedicated and/or sharedpower supply 518 that supplies and/or regulates power for the othercomponents. The computer 404 may provide power to and/or receive powerfrom another computer and/or other devices. The computer 404 maycomprise a shared and/or dedicated climate control unit 520 thatregulates climate properties, such as temperature, humidity, and/orairflow. Many such computers 404 may be configured and/or adapted toutilize at least a portion of the techniques presented herein.

FIG. 6 presents a schematic architecture diagram 600 of a client device410 whereupon at least a portion of the techniques presented herein maybe implemented. Such a client device 410 may vary widely inconfiguration or capabilities, in order to provide a variety offunctionality to a user such as the user 412. The client device 410 maybe provided in a variety of form factors, such as a desktop or towerworkstation; an “all-in-one” device integrated with a display 608; alaptop, tablet, convertible tablet, or palmtop device; a wearable devicemountable in a headset, eyeglass, earpiece, and/or wristwatch, and/orintegrated with an article of clothing; and/or a component of a piece offurniture, such as a tabletop, and/or of another device, such as avehicle or residence. The client device 410 may serve the user in avariety of roles, such as a workstation, kiosk, media player, gamingdevice, and/or appliance.

The client device 410 may comprise one or more processors 610 thatprocess instructions. The one or more processors 610 may optionallyinclude a plurality of cores; one or more coprocessors, such as amathematics coprocessor or an integrated graphical processing unit(GPU); and/or one or more layers of local cache memory. The clientdevice 410 may comprise memory 601 storing various forms ofapplications, such as an operating system 603; one or more userapplications 602, such as document applications, media applications,file and/or data access applications, communication applications such asweb browsers and/or email clients, utilities, and/or games; and/ordrivers for various peripherals. The client device 410 may comprise avariety of peripheral components, such as a wired and/or wirelessnetwork adapter 606 connectible to a local area network and/or wide areanetwork; one or more output components, such as a display 608 coupledwith a display adapter (optionally including a graphical processing unit(GPU)), a sound adapter coupled with a speaker, and/or a printer; inputdevices for receiving input from the user, such as a keyboard 611, amouse, a microphone, a camera, and/or a touch-sensitive component of thedisplay 608; and/or environmental sensors, such as a global positioningsystem (GPS) receiver 619 that detects the location, velocity, and/oracceleration of the client device 410, a compass, accelerometer, and/orgyroscope that detects a physical orientation of the client device 410.Other components that may optionally be included with the client device410 (though not shown in the schematic architecture diagram 600 of FIG.6) include one or more storage components, such as a hard disk drive, asolid-state storage device (SSD), a flash memory device, and/or amagnetic and/or optical disk reader; and/or a flash memory device thatmay store a basic input/output system (BIOS) routine that facilitatesbooting the client device 410 to a state of readiness; and a climatecontrol unit that regulates climate properties, such as temperature,humidity, and airflow.

The client device 410 may comprise a mainboard featuring one or morecommunication buses 612 that interconnect the processor 610, the memory601, and various peripherals, using a variety of bus technologies, suchas a variant of a serial or parallel AT Attachment (ATA) bus protocol;the Uniform Serial Bus (USB) protocol; and/or the Small Computer SystemInterface (SCI) bus protocol. The client device 410 may comprise adedicated and/or shared power supply 618 that supplies and/or regulatespower for other components, and/or a battery 604 that stores power foruse while the client device 410 is not connected to a power source viathe power supply 618. The client device 410 may provide power to and/orreceive power from other client devices.

FIG. 7 illustrates an example environment 700, in which one or moreembodiments may be implemented. In some embodiments, environment 700 maycorrespond to a Fifth Generation (“5G”) network, and/or may includeelements of a 5G network. In some embodiments, environment 700 maycorrespond to a 5G Non-Standalone (“NSA”) architecture, in which a 5Gradio access technology (“RAT”) may be used in conjunction with one ormore other RATs (e.g., a Long-Term Evolution (“LTE”) RAT), and/or inwhich elements of a 5G core network may be implemented by, may becommunicatively coupled with, and/or may include elements of anothertype of core network (e.g., an evolved packet core (“EPC”)). As shown,environment 700 may include UE 703, RAN 710 (which may include one ormore Next Generation Node Bs (“gNBs”) 711), RAN 712 (which may includeone or more one or more evolved Node Bs (“eNBs”) 713), and variousnetwork functions such as Access and Mobility Management Function(“AMF”) 715, Mobility Management Entity (“MME”) 716, Serving Gateway(“SGW”) 717, Session Management Function (“SMF”)/Packet Data Network(“PDN”) Gateway (“PGW”)-Control plane function (“PGW-C”) 720, PolicyControl Function (“PCF”)/Policy Charging and Rules Function (“PCRF”)725, Application Function (“AF”) 730, User Plane Function(“UPF”)/PGW-User plane function (“PGW-U”) 735, Home Subscriber Server(“HSS”)/Unified Data Management (“UDM”) 740, and Authentication ServerFunction (“AUSF”) 745. Environment 700 may also include one or morenetworks, such as Data Network (“DN”) 750. Environment 700 may includeone or more additional devices or systems communicatively coupled to oneor more networks (e.g., DN 750), such as location tracking system 751.

The example shown in FIG. 7 illustrates one instance of each networkcomponent or function (e.g., one instance of SMF/PGW-C 720, PCF/PCRF725, UPF/PGW-U 735, HSS/UDM 740, and/or 745). In practice, environment700 may include multiple instances of such components or functions. Forexample, in some embodiments, environment 700 may include multiple“slices” of a core network, where each slice includes a discrete set ofnetwork functions (e.g., one slice may include a first instance ofSMF/PGW-C 720, PCF/PCRF 725, UPF/PGW-U 735, HSS/UDM 740, and/or 745,while another slice may include a second instance of SMF/PGW-C 720,PCF/PCRF 725, UPF/PGW-U 735, HSS/UDM 740, and/or 745). The differentslices may provide differentiated levels of service, such as service inaccordance with different Quality of Service (“QoS”) parameters.

The quantity of devices and/or networks, illustrated in FIG. 7, isprovided for explanatory purposes only. In practice, environment 700 mayinclude additional devices and/or networks, fewer devices and/ornetworks, different devices and/or networks, or differently arrangeddevices and/or networks than illustrated in FIG. 7. For example, whilenot shown, environment 700 may include devices that facilitate or enablecommunication between various components shown in environment 700, suchas routers, modems, gateways, switches, hubs, etc. Alternatively and/oradditionally, one or more of the devices of environment 700 may performone or more network functions described as being performed by anotherone or more of the devices of environment 700. Devices of environment700 may interconnect with each other and/or other devices via wiredconnections, wireless connections, or a combination of wired andwireless connections. In some implementations, one or more devices ofenvironment 700 may be physically integrated in, and/or may bephysically attached to, one or more other devices of environment 700.

UE 703 may include a computation and communication device, such as awireless mobile communication device that is capable of communicatingwith RAN 710, RAN 712, and/or DN 750. UE 703 may be, or may include, aradiotelephone, a personal communications system (“PCS”) terminal (e.g.,a device that combines a cellular radiotelephone with data processingand data communications capabilities), a personal digital assistant(“PDA”) (e.g., a device that may include a radiotelephone, a pager,Internet/intranet access, etc.), a smart phone, a laptop computer, atablet computer, a camera, a personal gaming system, an IoT device(e.g., a sensor, a smart home appliance, or the like), a wearabledevice, an Internet of Things (“IoT”) device, a Mobile-to-Mobile (“M2M”)device, or another type of mobile computation and communication device.UE 703 may send traffic to and/or receive traffic (e.g., user planetraffic) from DN 750 via RAN 710, RAN 712, and/or UPF/PGW-U 735.

RAN 710 may be, or may include, a 5G RAN that includes one or more basestations (e.g., one or more gNBs 711), via which UE 703 may communicatewith one or more other elements of environment 700. UE 703 maycommunicate with RAN 710 via an air interface (e.g., as provided by gNB711). For instance, RAN 710 may receive traffic (e.g., voice calltraffic, data traffic, messaging traffic, signaling traffic, etc.) fromUE 703 via the air interface, and may communicate the traffic toUPF/PGW-U 735, and/or one or more other devices or networks. Similarly,RAN 710 may receive traffic intended for UE 703 (e.g., from UPF/PGW-U735, AMF 715, and/or one or more other devices or networks) and maycommunicate the traffic to UE 703 via the air interface.

RAN 712 may be, or may include, a LTE RAN that includes one or more basestations (e.g., one or more eNBs 713), via which UE 703 may communicatewith one or more other elements of environment 700. UE 703 maycommunicate with RAN 712 via an air interface (e.g., as provided by eNB713). For instance, RAN 710 may receive traffic (e.g., voice calltraffic, data traffic, messaging traffic, signaling traffic, etc.) fromUE 703 via the air interface, and may communicate the traffic toUPF/PGW-U 735, and/or one or more other devices or networks. Similarly,RAN 710 may receive traffic intended for UE 703 (e.g., from UPF/PGW-U735, SGW 717, and/or one or more other devices or networks) and maycommunicate the traffic to UE 703 via the air interface.

AMF 715 may include one or more devices, systems, Virtualized NetworkFunctions (“VNFs”), etc., that perform operations to register UE 703with the 5G network, to establish bearer channels associated with asession with UE 703, to hand off UE 703 from the 5G network to anothernetwork, to hand off UE 703 from the other network to the 5G network,manage mobility of UE 703 between RANs 710 and/or gNBs 711, and/or toperform other operations. In some embodiments, the 5G network mayinclude multiple AMFs 715, which communicate with each other via the N14interface (denoted in FIG. 7 by the line marked “N14” originating andterminating at AMF 715).

MME 716 may include one or more devices, systems, VNFs, etc., thatperform operations to register UE 703 with the EPC, to establish bearerchannels associated with a session with UE 703, to hand off UE 703 fromthe EPC to another network, to hand off UE 703 from another network tothe EPC, manage mobility of UE 703 between RANs 712 and/or eNBs 713,and/or to perform other operations.

SGW 717 may include one or more devices, systems, VNFs, etc., thataggregate traffic received from one or more eNBs 713 and send theaggregated traffic to an external network or device via UPF/PGW-U 735.Additionally, SGW 717 may aggregate traffic received from one or moreUPF/PGW-Us 735 and may send the aggregated traffic to one or more eNBs713. SGW 717 may operate as an anchor for the user plane duringinter-eNB handovers and as an anchor for mobility between differenttelecommunication networks or RANs (e.g., RANs 710 and 712).

SMF/PGW-C 720 may include one or more devices, systems, VNFs, etc., thatgather, process, store, and/or provide information in a manner describedherein. SMF/PGW-C 720 may, for example, facilitate in the establishmentof communication sessions on behalf of UE 703. In some embodiments, theestablishment of communications sessions may be performed in accordancewith one or more policies provided by PCF/PCRF 725.

PCF/PCRF 725 may include one or more devices, systems, VNFs, etc., thataggregate information to and from the 5G network and/or other sources.PCF/PCRF 725 may receive information regarding policies and/orsubscriptions from one or more sources, such as subscriber databasesand/or from one or more users (such as, for example, an administratorassociated with PCF/PCRF 725).

AF 730 may include one or more devices, systems, VNFs, etc., thatreceive, store, and/or provide information that may be used indetermining parameters (e.g., quality of service parameters, chargingparameters, or the like) for certain applications.

UPF/PGW-U 735 may include one or more devices, systems, VNFs, etc., thatreceive, store, and/or provide data (e.g., user plane data). Forexample, UPF/PGW-U 735 may receive user plane data (e.g., voice calltraffic, data traffic, etc.), destined for UE 703, from DN 750, and mayforward the user plane data toward UE 703 (e.g., via RAN 710, SMF/PGW-C720, and/or one or more other devices). In some embodiments, multipleUPFs 735 may be deployed (e.g., in different geographical locations),and the delivery of content to UE 703 may be coordinated via the N9interface (e.g., as denoted in FIG. 7 by the line marked “N9”originating and terminating at UPF/PGW-U 735). Similarly, UPF/PGW-U 735may receive traffic from UE 703 (e.g., via RAN 710, SMF/PGW-C 720,and/or one or more other devices), and may forward the traffic toward DN750. In some embodiments, UPF/PGW-U 735 may communicate (e.g., via theN4 interface) with SMF/PGW-C 720, regarding user plane data processed byUPF/PGW-U 735.

HSS/UDM 740 and AUSF 745 may include one or more devices, systems, VNFs,etc., that manage, update, and/or store, in one or more memory devicesassociated with AUSF 745 and/or HSS/UDM 740, profile informationassociated with a subscriber. AUSF 745 and/or HSS/UDM 740 may performauthentication, authorization, and/or accounting operations associatedwith the subscriber and/or a communication session with UE 703. DN 750may include one or more wired and/or wireless networks.

For example, DN 750 may include an Internet Protocol (“IP”)-based PDN, awide area network (“WAN”) such as the Internet, a private enterprisenetwork, and/or one or more other networks. UE 703 may communicate,through DN 750, with data servers, other UEs UE 703, and/or to otherservers or applications that are coupled to DN 750. DN 750 may beconnected to one or more other networks, such as a public switchedtelephone network (“PSTN”), a public land mobile network (“PLMN”),and/or another network. DN 750 may be connected to one or more devices,such as content providers, applications, web servers, and/or otherdevices, with which UE 703 may communicate.

The location tracking system 751 may include one or more devices,systems, VNFs, etc., that perform one or more operations describedherein. For example, the location tracking system 751 may receivereporting information from the UE 703 (e.g., the first client device100) and/or determine, based upon the reporting information, locatinginformation (indicative of a building in which the UE 703 is located, afloor of the building on which the UE 703 is located and/or a part ofthe floor in which the UE 703 is located, for example). The locationtracking system 751 may present the locating information via aninterface and/or transmit the locating information to one or moredevices, such as at least one of the UE 703, a first respondermanagement device, etc.

FIG. 8 illustrates an example Distributed Unit (“DU”) network 800, whichmay be included in and/or implemented by one or more RANs (e.g., RAN710, RAN 712, or some other RAN). In some embodiments, a particular RANmay include one DU network 800. In some embodiments, a particular RANmay include multiple DU networks 800. In some embodiments, DU network800 may correspond to a particular gNB 711 of a 5G RAN (e.g., RAN 710).In some embodiments, DU network 800 may correspond to multiple gNBs 711.In some embodiments, DU network 800 may correspond to one or more othertypes of base stations of one or more other types of RANs. As shown, DUnetwork 800 may include Central Unit (“CU”) 805, one or more DistributedUnits (“DUs”) 803-1 through 803-N (referred to individually as “DU 803,”or collectively as “DUs 803”), and one or more Radio Units (“RUs”) 801-1through 801-M (referred to individually as “RU 801,” or collectively as“RUs 801”).

CU 805 may communicate with a core of a wireless network (e.g., maycommunicate with one or more of the devices or systems described abovewith respect to FIG. 7, such as AMF 715 and/or UPF/PGW-U 735). In theuplink direction (e.g., for traffic from UEs UE 703 to a core network),CU 805 may aggregate traffic from DUs 803, and forward the aggregatedtraffic to the core network. In some embodiments, CU 805 may receivetraffic according to a given protocol (e.g., Radio Link Control (“RLC”))from DUs 803, and may perform higher-layer processing (e.g., mayaggregate/process RLC packets and generate Packet Data ConvergenceProtocol (“PDCP”) packets based upon the RLC packets) on the trafficreceived from DUs 803.

In accordance with some embodiments, CU 805 may receive downlink traffic(e.g., traffic from the core network) for a particular UE 703, and maydetermine which DU(s) 803 should receive the downlink traffic. DU 803may include one or more devices that transmit traffic between a corenetwork (e.g., via CU 805) and UE 703 (e.g., via a respective RU 801).DU 803 may, for example, receive traffic from RU 801 at a first layer(e.g., physical (“PHY”) layer traffic, or lower PHY layer traffic), andmay process/aggregate the traffic to a second layer (e.g., upper PHYand/or RLC). DU 803 may receive traffic from CU 805 at the second layer,may process the traffic to the first layer, and provide the processedtraffic to a respective RU 801 for transmission to UE 703.

RU 801 may include hardware circuitry (e.g., one or more RFtransceivers, antennas, radios, and/or other suitable hardware) tocommunicate wirelessly (e.g., via an RF interface) with one or more UEsUE 703, one or more other DUs 803 (e.g., via RUs 801 associated with DUs803), and/or any other suitable type of device. In the uplink direction,RU 801 may receive traffic from UE 703 and/or another DU 803 via the RFinterface and may provide the traffic to DU 803. In the downlinkdirection, RU 801 may receive traffic from DU 803, and may provide thetraffic to UE 703 and/or another DU 803.

RUs 801 may, in some embodiments, be communicatively coupled to one ormore Multi-Access/Mobile Edge Computing (“MEC”) devices, referred tosometimes herein simply as (“MECs”) 807. For example, RU 801-1 may becommunicatively coupled to MEC 807-1, RU 801-M may be communicativelycoupled to MEC 807-M, DU 803-1 may be communicatively coupled to MEC807-2, DU 803-N may be communicatively coupled to MEC 807-N, CU 805 maybe communicatively coupled to MEC 807-3, and so on. MECs 807 may includehardware resources (e.g., configurable or provisionable hardwareresources) that may be configured to provide services and/or otherwiseprocess traffic to and/or from UE 703, via a respective RU 801.

For example, RU 801-1 may route some traffic, from UE 703, to MEC 807-1instead of to a core network (e.g., via DU 803 and CU 805). MEC 807-1may process the traffic, perform one or more computations based upon thereceived traffic, and may provide traffic to UE 703 via RU 801-1. Inthis manner, ultra-low latency services may be provided to UE 703, astraffic does not need to traverse DU 803, CU 805, and an interveningbackhaul network between DU network 800 and the core network. In someembodiments, MEC 807 may include, and/or may implement some or all ofthe functionality described above with respect to at least one of thelocation tracking system 751, the location tracking system 172, thefirst client device 100, one or more GIS devices, the geographicalsystem, the weather system, etc.

FIG. 9 is an illustration of a scenario 900 involving an examplenon-transitory machine readable medium 902. The non-transitory machinereadable medium 902 may comprise processor-executable instructions 912that when executed by a processor 916 cause performance (e.g., by theprocessor 916) of at least some of the provisions herein. Thenon-transitory machine readable medium 902 may comprise a memorysemiconductor (e.g., a semiconductor utilizing static random accessmemory (SRAM), dynamic random access memory (DRAM), and/or synchronousdynamic random access memory (SDRAM) technologies), a platter of a harddisk drive, a flash memory device, or a magnetic or optical disc (suchas a compact disk (CD), a digital versatile disk (DVD), or floppy disk).The example non-transitory machine readable medium 902 storescomputer-readable data 904 that, when subjected to reading 906 by areader 910 of a device 908 (e.g., a read head of a hard disk drive, or aread operation invoked on a solid-state storage device), express theprocessor-executable instructions 912. In some embodiments, theprocessor-executable instructions 912, when executed cause performanceof operations, such as at least some of the example method 300 of FIG.3, for example. In some embodiments, the processor-executableinstructions 912 are configured to cause implementation of a system,such as at least some of the example system 101 of FIGS. 1A-1K, forexample.

To the extent the aforementioned implementations collect, store, oremploy personal information of individuals, groups or other entities, itshould be understood that such information shall be used in accordancewith all applicable laws concerning protection of personal information.Additionally, the collection, storage, and use of such information canbe subject to consent of the individual to such activity, for example,through well known “opt-in” or “opt-out” processes as can be appropriatefor the situation and type of information. Storage and use of personalinformation can be in an appropriately secure manner reflective of thetype of information, for example, through various access control,encryption and anonymization techniques for particularly sensitiveinformation.

As used in this application, “component,” “module,” “system”,“interface”, and/or the like are generally intended to refer to acomputer-related entity, either hardware, a combination of hardware andsoftware, software, or software in execution. For example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution, a program,and/or a computer. By way of illustration, both an application runningon a controller and the controller can be a component. One or morecomponents may reside within a process and/or thread of execution and acomponent may be localized on one computer and/or distributed betweentwo or more computers.

Unless specified otherwise, “first,” “second,” and/or the like are notintended to imply a temporal aspect, a spatial aspect, an ordering, etc.Rather, such terms are merely used as identifiers, names, etc. forfeatures, elements, items, etc. For example, a first object and a secondobject generally correspond to object A and object B or two different ortwo identical objects or the same object.

Moreover, “example” is used herein to mean serving as an example,instance, illustration, etc., and not necessarily as advantageous. Asused herein, “or” is intended to mean an inclusive “or” rather than anexclusive “or”. In addition, “a” and “an” as used in this applicationare generally be construed to mean “one or more” unless specifiedotherwise or clear from context to be directed to a singular form. Also,at least one of A and B and/or the like generally means A or B or both Aand B. Furthermore, to the extent that “includes”, “having”, “has”,“with”, and/or variants thereof are used in either the detaileddescription or the claims, such terms are intended to be inclusive in amanner similar to the term “comprising”.

Although the subject matter has been described in language specific tostructural features and/or methodological acts, it is to be understoodthat the subject matter defined in the appended claims is notnecessarily limited to the specific features or acts described above.Rather, the specific features and acts described above are disclosed asexample forms of implementing at least some of the claims.

Furthermore, the claimed subject matter may be implemented as a method,apparatus, or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware, or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable device, carrier, or media. Of course, manymodifications may be made to this configuration without departing fromthe scope or spirit of the claimed subject matter.

Various operations of embodiments are provided herein. In an embodiment,one or more of the operations described may constitute computer readableinstructions stored on one or more computer readable media, which ifexecuted by a computing device, will cause the computing device toperform the operations described. The order in which some or all of theoperations are described should not be construed as to imply that theseoperations are necessarily order dependent. Alternative ordering may beimplemented without departing from the scope of the disclosure. Further,it will be understood that not all operations are necessarily present ineach embodiment provided herein. Also, it will be understood that notall operations are necessary in some embodiments.

Also, although the disclosure has been shown and described with respectto one or more implementations, alterations and modifications may bemade thereto and additional embodiments may be implemented based upon areading and understanding of this specification and the annexeddrawings. The disclosure includes all such modifications, alterationsand additional embodiments and is limited only by the scope of thefollowing claims. The specification and drawings are accordingly to beregarded in an illustrative rather than restrictive sense. In particularregard to the various functions performed by the above describedcomponents (e.g., elements, resources, etc.), the terms used to describesuch components are intended to correspond, unless otherwise indicated,to any component which performs the specified function of the describedcomponent (e.g., that is functionally equivalent), even though notstructurally equivalent to the disclosed structure. In addition, while aparticular feature of the disclosure may have been disclosed withrespect to only one of several implementations, such feature may becombined with one or more other features of the other implementations asmay be desired and advantageous for any given or particular application.

What is claimed is:
 1. A method comprising: performing one or morebarometric measurements using a barometric sensor of a device todetermine one or more barometric pressure measures; receiving one ormore global navigation satellite system (GNSS) signals and one or morecorrective signals associated with the one or more GNSS signals;determining, based upon the one or more GNSS signals and the one or morecorrective signals, one or more locations of the device; determining oneor more reference values based upon the one or more locations of thedevice; determining, based upon the one or more barometric pressuremeasures and the one or more reference values, a barometric offsetassociated with barometric measurement using the barometric sensor; andperforming a first barometric measurement using the barometric sensor todetermine a first barometric pressure measure, wherein an altitude ofthe device is determined based upon the first barometric pressuremeasure and the barometric offset.
 2. The method of claim 1, comprising:performing a calibration process associated with the barometric sensorof the device, wherein the calibration process comprises: the performingthe one or more barometric measurements to determine the one or morebarometric pressure measures; the determining the one or more locationsof the device; and the determining the barometric offset.
 3. The methodof claim 2, comprising: determining that the device is outdoors, whereinthe calibration process is performed responsive to the determining thatthe device is outdoors.
 4. The method of claim 3, comprising: receivinga signal; and comparing a signal strength of the signal with a signalstrength threshold to determine whether the signal strength exceeds thesignal strength threshold, wherein the determining that the device isoutdoors is based upon a determination that the signal strength exceedsthe signal strength threshold.
 5. The method of claim 4, wherein: thesignal is at least one of a GNSS signal or a cellular network signal. 6.The method of claim 3, comprising: receiving one or more second GNSSsignals and one or more second corrective signals associated with theone or more second GNSS signals; determining, based upon the one or moresecond GNSS signals and the one or more corrective signals, one or moresecond locations of the device; and comparing the one or more secondlocations of the device with a polygon comprising a representation ofgeographical boundaries of an area comprising indoor space, wherein thedetermining that the device is outdoors is based upon the comparison ofthe one or more second locations with the polygon.
 7. The method ofclaim 6, wherein: the determining that the device is outdoors is basedupon a determination that one or more distances between the one or morefirst locations and the polygon are larger than a threshold distance. 8.The method of claim 7, wherein: the threshold distance is based upon alocation error associated with the one or more second locations.
 9. Themethod of claim 2, comprising: determining an altitude determinationaccuracy of the device; and comparing the altitude determinationaccuracy of the device with a threshold altitude determination accuracyto determine whether the altitude determination accuracy of the deviceexceeds the threshold altitude determination accuracy, wherein thecalibration process is performed responsive to determining that thealtitude determination accuracy exceeds the threshold altitudedetermination accuracy.
 10. The method of claim 9, comprising: receivingone or more second corrective signals, wherein the determining thealtitude determination accuracy is performed based upon one or moresignal strengths of the one or more second corrective signals.
 11. Themethod of claim 1, comprising: performing barometric measurements usingthe barometric sensor of the device to determine a plurality ofbarometric pressure measures comprising the one or more barometricpressure measures; receiving a plurality of GNSS signals, comprising theone or more GNSS signals, and a plurality of corrective signals,comprising the one or more corrective signals, associated with theplurality of GNSS signals; determining, based upon the plurality of GNSSsignals and the plurality of corrective signals, a plurality oflocations of the device comprising the one or more locations of thedevice; and determining a measure of vertical movement of the devicebased upon one or more second locations of the plurality of locations,wherein the determining the barometric offset, based upon the one ormore barometric pressure measures of the plurality of barometricpressure measures, is performed responsive to determining that themeasure of vertical movement exceeds a threshold measure of verticalmovement.
 12. The method of claim 1, comprising: performing barometricmeasurements using the barometric sensor of the device to determine aplurality of barometric pressure measures comprising the one or morebarometric pressure measures, wherein: the determining the plurality ofbarometric pressure measures comprises filtering noise of barometricpressure samples, generated via barometric measurements performed usingthe barometric sensor, to determine barometric pressure measures of theplurality of barometric pressure measures; and the determining thebarometric offset, based upon the one or more barometric pressuremeasures of the plurality of barometric pressure measures, is performedresponsive to determining that a noise level of one or more secondbarometric pressure measures of the plurality of barometric pressuremeasures is less than a threshold noise level.
 13. The method of claim1, wherein: a first location of the one or more locations corresponds toa location at which a barometric measurement is performed using thebarometric sensor to determine a second barometric pressure measure ofthe one or more barometric pressure measures.
 14. The method of claim13, comprising: identifying, based upon the first location of the one ormore locations, a mean sea level pressure value associated with thefirst location, wherein a reference value of the one or more referencevalues is based upon the mean sea level pressure value.
 15. The methodof claim 1, comprising: determining, based upon the one or morelocations, one or more altitudes of the device, wherein the determiningthe barometric offset is based upon the one or more altitudes of thedevice.
 16. The method of claim 1, wherein: the one or more correctivesignals comprise at least one of one or more differential GNSS (DGNSS)corrective signals or one or more real-time kinematic (RTK) correctivesignals.
 17. A non-transitory computer-readable medium storinginstructions that when executed perform operations comprising:performing one or more barometric measurements using a barometric sensorof a device to determine one or more barometric pressure measures;receiving one or more global navigation satellite system (GNSS) signalsand one or more differential GNSS (DGNSS) corrective signals associatedwith the one or more GNSS signals; determining, based upon the one ormore GNSS signals and the one or more DGNSS corrective signals, one ormore locations of the device; determining one or more reference valuesbased upon the one or more locations of the device; determining, basedupon the one or more barometric pressure measures and the one or morereference values, a barometric offset associated with barometricmeasurement using the barometric sensor; and performing a firstbarometric measurement using the barometric sensor to determine a firstbarometric pressure measure, wherein at least one of an adjustedbarometric pressure measure or an altitude of the device are determinedbased upon the first barometric pressure measure and the barometricoffset.
 18. The non-transitory computer-readable medium of claim 17, theoperations comprising: determining an altitude determination accuracy ofthe device; and comparing the altitude determination accuracy of thedevice with a threshold altitude determination accuracy to determinewhether the altitude determination accuracy of the device exceeds thethreshold altitude determination accuracy, wherein a calibration processis performed responsive to determining that the altitude determinationaccuracy exceeds the threshold altitude determination accuracy, whereinthe calibration process comprises: the performing the one or morebarometric measurements to determine the one or more barometric pressuremeasures; the determining the one or more locations of the device; andthe determining the barometric offset.
 19. A device comprising: aprocessor coupled to memory, the processor configured to executeinstructions to perform operations comprising: performing one or morebarometric measurements using a barometric sensor of the device todetermine one or more barometric pressure measures; receiving one ormore global navigation satellite system (GNSS) signals and one or morereal-time kinematic (RTK) corrective signals associated with the one ormore GNSS signals; determining, based upon the one or more GNSS signalsand the one or more RTK corrective signals, one or more locations of thedevice; determining one or more reference values based upon the one ormore locations of the device; determining, based upon the one or morebarometric pressure measures and the one or more reference values, abarometric offset associated with barometric measurement using thebarometric sensor; and performing a first barometric measurement usingthe barometric sensor to determine a first barometric pressure measure,wherein at least one of an adjusted barometric pressure measure or analtitude of the device are determined based upon the first barometricpressure measure and the barometric offset.
 20. The device of claim 19,the operations comprising: determining, based upon the one or morelocations, one or more altitudes of the device and one or more mean sealevel pressure values associated with the one or more locations, whereinthe determining the barometric offset is based upon the one or morealtitudes of the device and the one or more mean sea level pressurevalues.